Next Article in Journal
Simple Random Sampling-Based Probe Station Selection for Fault Detection in Wireless Sensor Networks
Previous Article in Journal
An Efficient Transmission Power Control Scheme for Temperature Variation in Wireless Sensor Networks

Sensors 2011, 11(3), 3094-3116; https://doi.org/10.3390/s110303094

Article
Optimization of Sensing and Feedback Control for Vibration/Flutter of Rotating Disk by PZT Actuators via Air Coupled Pressure
1
College of Mechanical & Electrical Engineering, China Jiliang University, Xueyuan Road, Xiasha High-Edu Park, Hangzhou 310018, Zhejiang, China
2
State Key Laboratory of Fluid Power and Mechantronic Systems, Zhejiang University, Yuquan Road, Hangzhou 310027, Zhejiang, China
3
State Key Lab of Digital Maufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
4
Center for Mechanics of Micro-Systems, Nanyang Technological University, 639798, Singapore
*
Author to whom correspondence should be addressed.
Received: 11 February 2011; in revised form: 1 March 2011 / Accepted: 3 March 2011 / Published: 10 March 2011

Abstract

: In this paper, a feedback control mechanism and its optimization for rotating disk vibration/flutter via changes of air-coupled pressure generated using piezoelectric patch actuators are studied. A thin disk rotates in an enclosure, which is equipped with a feedback control loop consisting of a micro-sensor, a signal processor, a power amplifier, and several piezoelectric (PZT) actuator patches distributed on the cover of the enclosure. The actuator patches are mounted on the inner or the outer surfaces of the enclosure to produce necessary control force required through the airflow around the disk. The control mechanism for rotating disk flutter using enclosure surfaces bonded with sensors and piezoelectric actuators is thoroughly studied through analytical simulations. The sensor output is used to determine the amount of input to the actuator for controlling the response of the disk in a closed loop configuration. The dynamic stability of the disk-enclosure system, together with the feedback control loop, is analyzed as a complex eigenvalue problem, which is solved using Galerkin’s discretization procedure. The results show that the disk flutter can be reduced effectively with proper configurations of the control gain and the phase shift through the actuations of PZT patches. The effectiveness of different feedback control methods in altering system characteristics and system response has been investigated. The control capability, in terms of control gain, phase shift, and especially the physical configuration of actuator patches, are also evaluated by calculating the complex eigenvalues and the maximum displacement produced by the actuators. To achieve a optimal control performance, sizes, positions and shapes of PZT patches used need to be optimized and such optimization has been achieved through numerical simulations.
Keywords:
smart structure; control mechanism; PZT actuator; disk flutter/vibration; optimal feedback control

1. Introduction

Rotating disks are widely used in various engineering applications, such as computer data storage systems, turbines, gyroscopes, and annular saw blades, etc. During the past few years, optical data recording, together with magnetic data recording, has made significant contribution to the development of information storage devices. Recent trends in optical disk drives have witnessed the transition from CD drives to high-density DVD drives, the widespread use of rewritable disk drives and the development of new types of information storage devices [1]. The demand for higher data transfer rates has led to a dramatic increase in the rotational speed of CD-ROM drives. During the last three years, the data transfer rate of CD-ROM drives has increased from 8X (8 times the transfer rate of the original CD-ROM) to 52X. DVD-ROM drives recently have repeated the same magnitude of increase in data transfer rates. With the rapid growth of data-storage density and increase of spindle motor speed in hard disk drivers (HDD), stability of rotating disks is also becoming an important issue because of its significant contribution to track mis-registration and disk drive failure. A disk rotating at high speed can lose its stability due to the coupling of the disk structure with its surrounding airflow in such a way that it keeps absorbing mechanical energy from the airflow to quickly build its vibration amplitude until failure sets in. This is called aeroelastic instability, or flutter. The vibration of a rotating disk coupled with surrounding airflow has been of interest to many researchers in past decades. A number of scientists have studied the aeroelastic stability (stability to self-excited vibrations) of spinning disks and obtained interesting results [25].

As the rotational speed increases, the backward natural frequency of a rotating disk decreases and vanishes at a certain critical speed. At this critical speed, a stationary transverse force provokes resonances and causes buckling instability in the rotating disk. A single backward traveling wave is excited at a certain speed above the critical speed. However, one of the important issues to be considered for higher rotational speeds is aerodynamic flutter. The self-excited vibration can be induced by the aerodynamic forces around a rotating disk. Since Lennemann [6], who studied aerodynamic effect on rotating disk files, many researchers have studied aerodynamically induced disk vibrations. Hosaka and Crandall [7] and Huang and Mote [8] have investigated the vibration stability of a flexible disk spinning very close to a rigid wall. In those papers, classical hydrodynamic lubrication theory was applied assuming that Reynold’s number of the fluid flowing in the gap is very small. Recently, Kim et al. [9] have predicted that the flutter speed of a hard disk drive can be about 35,000 rpm. Lee and Kim [10] also observed aero-induced flutter in optical disks. A modal extraction method to predict flutter of rotating disks was studied by the estimation of nonconservative aerodynamic pressures [11]. They suggested a similar empirical model to predict flutter of a disk rotating in a fluid where the relationship between the speed of the disk and the damping force was established according to some experimentally determined parameters. When a disk spins in open air without an enclosure, aerodynamic flutter occurs at lower speeds than a disk spinning close to a rigid wall. It is because the nonsymmetric stiffness, generated by the radial component of the airflow in the lubrication film, stiffens the disk. Yasuda et al. [12] proposed that the aerodynamic force on a disk rotating in an infinite medium can be written in terms of the so-called lift and damping forces whose models can be characterized as rotating damping. They assumed that the ratio between the lift and damping force was proportional to rotational speed. Similar to the analysis of a disk rotating close to a rigid wall, they showed that flutter of a single backward traveling wave could appear at certain specific rotational speeds. Renshaw [13] studied the stability of a flexible floppy disk rotating very close to a rigid wall. The analyses were based on the classical hydrodynamic lubrication theory to describe the mechanism of thin viscous flow in the gap coupling to the disk. D’Angelo and Mote [14] and Renshaw et al. [15] experimentally investigated the vibration of a thin disk rotating in atmospheres of different densities and observed disk flutter and flutter modes. The research activities in disk flutter have recently been directly applied to hard disk drives. Imai et al. [16] and Imai [17] experimentally investigated the mechanism of disk flutter excitation in hard disk drivers and suggested a technique of deceasing disk-to-shroud spacing to reduce amplitudes of disk flutter. Heo et al. [18] presented another control method, which used a better aerodynamic design of the shroud contour on the base casting to reduce the disk flutter. Bittner et al. [19] proposed an acoustically tuned-mass damper to suppress disk flutter through an air bearing plate on top of the disk. By applying a squeeze film damping to a commercially available HDD, Deeyiengyang et al. [20] conducted experiments to study the effect of clearances between squeeze film and disk surface on suppressing vibration of spinning disk/spindle systems. All these methods mentioned are passive control techniques, which either modify the configuration of the disk drive casings and hence the aerodynamic characteristics, or increase the dynamic damping of the disk. Yan et al. [21] had preliminarily studied active feedback control method to decrease vibration/flutter of rotating disks of HDDs via distributed actuators. Considering the space limit, only self-sensing distributed actuators (rectangular PZT) had been studied experimentally. Huang et al. [22] had investigated theoretically and deeply the active control method to suppress the rotating disk flutter, in which the disk vibration signals were detected and processed to generate pressure perturbations inside the disk enclosure in such way that the original coupling would be altered, leading to the suppression of disk flutter. This was then also studied experimentally through a prototype disk system setup—a disk rotating between two fixed plates—by Huang et al. [23]. The feedback control systems generally require sensors and actuators, which are relatively easy to implement in laboratory experiments. In real hard disk drives however, sensors might present a problem when implementing feedback control techniques practically limited space. D’Angelo et al. [24] theoretically predicted flutter instability and frequency lock-on phenomenon of a rotating steel disk. Aerodynamic effect on natural frequencies and flutter speeds of rotating disks are experimentally studied using a vacuum chamber and optical disks. Experimental results demonstrate that the natural frequencies of a rotating disk in vacuum are larger than those obtained in ambient pressure in pre-flutter regions. Furthermore, the backward natural frequency of the disk is observed to be equal to that of the case without aerodynamic effect at flutter onset speed.

In this paper, the ratio, which is related to the magnitudes of lift and damping forces, is assumed to be proportional to rotational speed, and it has been shown that disk flutter could possibly arise at certain rotational speeds. The systematic studies on piezoelectric patches as actuators their performance of control under various arrangements of a number of actuator patches. The thin piezoelectric patches are attached on the surface of cover plate of the enclosure and vibrations of these actuator patches generate the required control forces through disturbed acoustic field in the disk-enclosure system. Dynamic stability of the disk-enclosure system, together with the feedback control loop, is analyzed as a complex eigenvalue problem which is solved using Galerkin’s discretization procedure. By taking into account the air-coupling and control force on the rotating disk, its dynamic stability is analyzed using Galerkin’s method. It has been demonstrated that, with a proper combination of control gain and phase shift, disk flutter can be suppressed effectively using piezoelectric actuator patches. Further, the control capability of different configurations, in terms of size, location, and shape of different number of actuator patches distributed on the surfaces of cover plate of the enclosure, have also been studied numerically. Some optimal configurations in terms of size and location arrangement of the actuator patches have been obtained, including both passive and active actuator using for HDDs.

The remaining sections of the paper are organized as follows. Section 2 develops the theoretical modeling and equations of motion, the analytical method is presented in Section 3, while Section 4 illustrates and discusses the simulation results. The final two sections include the numerical results for different control configurations of PZT patches and a conclusion.

2. Theoretical Modeling and Equations of Motion

Consider an annular disk with a uniform thickness h and an outer radius ro, clamped at the center with an inner radius ri in a cylindrical enclosure, as shown in Figure 1. The disk rotates about its vertical axis at a constant angular speed Ω. The material parameters of the disk which are Young’s modulus, Poisson’s ratio, and density are given as E, ν, and ρd, respectively. The enclosure has radius re and height zu + zd = 2ze, and the density of air in the enclosure is ρa. The rotating disk undergoes small magnitude of transverse motions modeled based on linear Kirchhoff plate theory with in-plane stresses. The governing equation in terms of transverse displacement (, θ, ), with respect to the space-fixed coordinates (, θ, ), can be written in a nondimensional form as follows [9,11,13,15,22,25]:

( 2 w t 2 + 2 2 w t θ + 2 w θ 2 ) + μ 4 w [ 1 r r ( r σ r w r ) + 1 r 2 θ ( σ θ w θ ) ] = q ( r ,     θ ,     t )
where w = w ¯ h, r = r ¯ r o, z = z ¯ r o, t = Ω, κ = r i r o, σ r = σ ¯ r ρ d   r o 2 Ω 2, σ θ = σ ¯ θ ρ d   r o 2 Ω 2, q = q ¯ ρ d   h 2 Ω 2. μ = D / ρ d   r o 4 Ω 2 h is the ratio between disk bending stiffness and the stiffness derived from centrifugal body forces due to rotation. D = Eh3/12(1 – ν2) is the bending rigidity of the disk, and 4 = ( 2 r 2 + r r + 2 r 2 θ 2 ) 2 is the biharmonic differential operator. Here, q(r, θ, t) represents the transverse loadings acting on the rotating disk, which includes aerodynamic force qf (r, θ, t), acoustic force qa (r, θ, t), and control force qa (r, θ, t). Here σr and σθ are the radial and hoop membrane stresses which satisfy the generalized plane-stress equations of linear elasticity with centrifugal body forces [26] and are expressed as follows:
σ ¯ r = ρ d   r o 2 Ω 2 [ b 0 ( r o r ) 2 + b 1 3 + v 8 ( r r o ) 2 ] σ ¯ θ = ρ d   r o 2 Ω 2 [ b 0 ( r o r ) 2 + b 1 1 + 3 v 8 ( r r o ) 2 ] b 0 = ( 1 v ) ( r i / r o ) 2 [ ( 3 + v ) ( 1 + v ) ( ( r i / r o ) 2 ) ] 8 [ ( 1 + v ) + ( 1 v ) ( r i / r o ) 2 ] b 1 = ( 1 v ) [ ( 3 + v ) + ( 1 v ) ( ( r i / r o ) 4 ) ] 8 [ ( 1 + v ) + ( 1 v ) ( r i / r o ) 2 ]

There are four radial boundary conditions associated with Equation (1). At the clamped edge r = ri the transverse displacement and its rotation (slope) are zeros:

w = 0
w / r = 0
and at outer edge r = ro, the radial bending moment and the shear force reaction are zeros:
w ,   rr + v ( w ,   r / r + w ,   θ θ / r 2 ) = 0
( 2 w ) ,   rr + ( 1 v ) / r 2 ( w ,   r w / r ) ,   θ θ = 0
as well as additional condition of circumferential periodicity, w(r, θ, t) = w(r, θ + 2π, t).

2.1. Aerodynamic Force and Acoustic Force

The empirical model of aerodynamic force, proposed by Kim et al. [9] and Hansen et al. [11] is employed in this study for the aerodynamic force. This hydrodynamic model, based on the rigorous Navier–Stokes equations, for description of aerodynamic force arising from airflow of disk rotation in an enclosure is highly complicated and needs to be simplified somehow in order to provide an analytical design method. Here, the model adopted is based on a simple mechanism that takes the aerodynamic loading exerted on the disk as a distributed viscous damping force rotating relative to the disk. It has some inherent benefits of complex system analysis but it avoids the solution of the complete Navier–Stokes equations, yet it gives good predictions on the rotating disk flutter qualitatively [22,23]. The model of aerodynamic force proposed by Kim et al. [9] is employed here, it has the form:

q f   ( r ,     θ ,     t ) = C [ w t + ( 1 Ω d Ω ) w θ ]
where C is a damping coefficient depending on the viscosity of the fluid, the rotational speed of the disk and the geometrical parameters of the enclosure, and Ωd is the rotational speed of the distributed viscous damping force relative to the disk. Both C and Ωd should be determined by experiments.

The acoustic force qa (r, θ, t) on the disk can be calculated through the pressure difference between the upper and the lower surfaces of the disk, and can be written as:

q a   ( r ,     θ ,     t ) = Λ [ ϕ a   ( r ,     θ ,     z ,     t ) t | z = 0 + ϕ a   ( r ,     θ ,     z ,     t ) t | z = 0 ]
where ϕa is the acoustic velocity potential and Λ = ρar0/ρdh. The governing equation for the acoustic field in the enclosure is expressed by:
2 ϕ a = M 2 2 ϕ a t 2
where 2 = 2 r 2 + r r + 2 r 2 θ 2 + 2 z 2 is the space Laplacian operator, and M = r0 Ω/a in which a is the speed of the sound in the enclosure. The acoustic velocities on the enclosure walls must be zero and hence the boundary conditions for ϕa are:
ϕ a r | r = r e = 0
ϕ a z | z = + z u = 0 ,     ϕ a z | z = z d = 0
where re = e/ro, and zu = u/ro, zd = d/ro.

In addition, on the surfaces of the disk, the acoustic velocities should match the corresponding disk vibration velocities, and at the clearance between the disk rim and the enclosure, ϕa = 0 for asymmetric acoustic field [15]. As a result, we have the following conditions:

ϕ a z | z = 0 = { 0 ( 0 r κ ) w t ( κ r 1 )
ϕ a | z = 0 = 0 ,   ( 1 < r r e )

2.2. Control Force Induced by PZT Actuator Patches

In this section, an acoustic feedback control is introduced into the disk-enclosure system, as presented in [21], as shown in Figure 2, the feedback control force is generated by the PZT actuators located on the cover of cylindrical enclosure, whose shapes are similar to passive squeeze plates, but they are attached on the surfaces of the enclosure plate.

A sensor is placed in the enclosure to pick up the vibration of the disk at point (rs, θs). The signal is then amplified and phase-shifted to become a driving signal to drive the actuator. The actuator will then generate a surface vibration on the upper surface of the enclosure. This surface vibration is therefore dependent on the control gain G, the phase shift σ, the disk vibration at sensor location, and the actuator distribution A(r, θ) on the upper surface, as shown in Figure 4. In general, A(r, θ) can be written as [22]:

A ( r ,   θ ) = n = + a n ( r ) e in θ

In the feedback control, we only take the n -th mode and consider a simple case that an (r) is a constant in the actuator region r1rr2 with θ1θθ2. Due to the motion of the actuator, a controlled acoustic field will be generated in the enclosure, which is denoted as ϕc. On the actuating portion, the acoustic velocity induced by ϕc shall be the same as the actuator velocity, which can be written as Ge einθw(rs, θs t)/∂t, and on other parts of the upper surface, the acoustic velocity is zero. If there exist more than one actuator patches located at different positions on upper surface, denoted by an integer j = 1,2, ⋯, J, as shown in Figure 3, the distribution function of each actuator is Aj (rj, θj). On the j th actuating portion, the acoustic velocity induced by ϕc equals to the j th actuator velocity which can be written as Gjej einθjw(rs, θst)/∂t. Since the gap between the disk rim and the sidewall of the enclosure is normally very small, we can assume that this gap is negligible and as a result, the acoustic velocity induced by ϕc on the disk becomes zero (the acoustic field induced by the disk vibration has been considered in ϕa). The governing equation and the boundary conditions for the controlled acoustic field ϕc are therefore written as:

2 ϕ c = M 2 2 ϕ c / t 2
ϕ c z | z = z u = { G k e i σ k e in θ k w ( r s ,   θ s ,   t ) t ( r 1 k r k r 2 k ,   θ 1 k θ k θ 2 k ,   k = 1 ,   2 ,   ,   M ) 0 ( r ,   θ ) ( A 1 A 2 A k A M )
ϕ c / z | z = 0 = 0
ϕ c / r | r = r e = 0

The controlled acoustic field ϕc will generate an additional force on the disk surface, denoted by qc, which can be calculated by:

q c = Λ ϕ c ( r ,   θ ,   z ,   t ) t | z = 0 +

This control force will be added to the right-hand side of Equation (11) and the vibration of the disk-enclosure system is therefore under control.

3. Analytical Method

In order to solve air-coupled disk vibration equations, Equation (1) will be solved under all the forces and the required boundary conditions. All governing equations for the rotating disk and acoustic fields should be solved simultaneously. To achieve this, approximate method used by previous investigators [7,15,22,25] was employed here. Similarly, separable forms for the transverse displacement w(r, θ, z, t), and the acoustic velocity potentials ϕa (r, θ, z, t) and ϕc (r, θ, z, t), are assumed:

w ( r ,   θ ,   z ,   t ) = R ( r ) e i ( n θ + λ T )
ϕ a ( r ,   θ ,   z ,   t ) = ψ a ( r ,   z ) e i ( n θ + λ T )
ϕ c ( r ,   θ ,   z ,   t ) = ψ c ( r ,   z ) e i ( n θ + λ T )
where R(t), ψa (r, z), and ψc (r, z) are unknown functions to be determined. λ is the eigenvalue whose real part determines disk vibration frequency and imaginary part indicates the stability of the system. R(t) is obtained by Galerkin’s method in the following form:
w ( r ,   θ ,   z ,   t ) = m = 0 c m R mn ( r ) e i ( n θ + λ T )
where m and n represent the number of nodal circles and number of nodal diameters of the vibration mode (m, n), and cm are coefficients. In numerical simulation, the infinite series in Equation (15) will be truncated at m = M0 within allowable accuracy and a power series is used to approximate Rmn [27]:
R mn ( r ) = r m + r m + 1 + E mn ( 1 ) r m + 2 + E mn ( 2 ) r m + 3 + r m + 4 + E mn ( 3 ) r m + 5 + E mn ( 4 ) r m + 6
where E mn ( i ), (i = 1, 2, 3, 4) are constants to be determined such that all the boundary conditions of the disk are satisfied. The acoustic velocity potentials ϕa and ϕc are solved according to the boundary conditions and have the following form:
ϕ a ( r ,   θ ,   z ,   t ) = i = 1 d k a cosh [ α k ( z e z ) ] J n ( ξ k r ) e i ( n θ + λ T )
ϕ c ( r ,   θ ,   z ,   t ) = i = 1 d k c cosh ( α k z ) J n ( ξ k r ) e i ( n θ + λ T )
where Jn (ξk r) is a Bessel function of nth order, ξk is determined by the roots of Jn (ξk r) = 0 (k = 1, 2, ⋯, ∞), which represents the boundary conditions at the sidewall of the enclosure, α k = ξ k 2 ( M λ ) 2, d k a and d k c will be determined, respectively, by matching condition (8) at z = 0 and the boundary condition (12) at r = re. Owing to the couplings between disturbed acoustic fields and disk vibrations, d k a and d k c are functions of coefficients cm. That is, d k a = d k a ( c m ) and d k c = d k c ( c m ).

For two arbitrary complex-valued functions a(r, θ) and b(r, θ) which are defined in domain {kr ≤ 1, 0 ≤ θ ≤ 2π}, we define an inner product as follows:

< a ( r ,   θ ) ,   b ( r ,   θ ) > = 0 2 π k 1 a ( r ,   θ ) b * ( r ,   θ ) r dr d θ
where the superscript asterisk denotes complex conjugate. By substituting Equations (15), (17) and (18) into the governing Equation (1) of the disk, and calculating the inner product with Rlnei(+λt), (l = 0, 1, 2, ⋯, M0), one obtains a matrix equation for the coefficients cm following Galerkin’s method:
{ [ B ] + [ P f ] + [ P a ] + [ P c ] } [ c ] = [ 0 ]
where [ c ] = [ c 0 c 1 c M 0 ] T, [B] is a (M0 + 1)×(M0 + 1) square matrix associated with free vibration of the rotating disk without any aerodynamic loading, [Pf] is a (M0 + 1)×(M0 + 1) square matrix associated with aerodynamic force due to disk rotation, [Pa] and [Pc] are evaluated according to Appendix A of [22]. The elements for [B] and [Pf] are given as follows:
B ml = 2 π k 1 [ ( λ + n ) 2 R mn ( r ) μ n 4 R mn ( r ) + 1 r ( r σ r d R mn dr ) n 2 r 2 σ θ R mn ( r ) ] R ln ( r ) r dr
P ml f = 2 π k 1 C i [ λ + ( 1 Ω d Ω ) n ] R mn ( r ) R ln ( r ) r dr
where n 4 = ( d 2 dr 2 + d rdr n 2 r 2 ) 2. In Equation (20), [Pf] and [Pc] are additional terms which were not included in the model of Renshaw et al. [15]. The condition for the existence of non-trivial solutions for Equation (20) leads to a characteristic equation:
det { [ B ] + [ P f ] + [ P a ] + [ P c ] } = 0
from which the eigenvalue λ is obtained from the roots. These roots come in (M0 + 1) pairs and generate (M0 + 1) pairs of eigenvalues for a fixed nodal diameter n. Each pair of eigenvalues is denoted by λFTW and λBTW for Forward Traveling Wave (FTW) and Backward Traveling Wave (BTW) along and against the rotation direction of the disk [9,11].

The real parts of the eigenvalues, Re (λ), are related to disk vibration mode frequencies while the imaginary parts, Im(λ), are related to the ‘damping’ of a disk vibration with a condition of Im(λ) > 0 indicates an unstable vibration or flutter. If a disk rotates in vacuum, all its eigenvalues are just real numbers and the system is therefore stable. If a disk rotates in air without implementing feedback control, the eigenvalues will be complex numbers and Im(λ) may be negative for some modes, i.e., flutter may occur in some of the modes. All these cases are demonstrated and discussed next.

4. Simulation Results and Discussions

Case studies are conducted in this section to show that flutter may occur for some modes and that it is possible to suppress flutter by the proposed feedback control technique. First, the disk used in this simulation is the same as the one used by D’Angelo and Mote [14,24] so that we can compare results for mode verification and updating. Details of the disk investigated can be found in references [14,24]. The critical speed for mode (0, 3) in present study has been found to be 2,081 rpm, which is comparable to the measured value of 2,078 rpm reported in [14,24] with a percentage error of less than 3.0%, as shown in Figure 4.

Second, the hard disk platter is investigated with geometric and material parameters listed in Table 1. During the simulations, the enclosure dimensions are assumed to be fixed at ze = 0.5* ro and re = 1.2* ro and the sensor is assumed to be located at (rs, θs) = (0.9, 0) and ra = 0.8.

The calculated mode frequencies for the rotational disk are compared with the measured results by Imai [17], and the results for some modes are listed in Table 2 (with rotating speed Ω = 5,400 rpm). The errors are less than 5% for most of modes, except 6.62% for mode (0, 0). For disk without rotating, the measured typical mode shapes (0,2), (0,3), and (0,4) are shown in Figure 5. After algorithm verification, the studies of HDD with feedback control are shown next.

The aerodynamic loading described by Equation (4) is an empirical model in which nondimensional parameter C and speed ratio Ωd/Ω in Equation (11) should be determined according to experimental data. Our simulation indicates that the flutter speed is not sensitive to the damping coefficient, so that we set C = 0.01 by considering that the aerodynamic loading is a kind of ‘damping’ before onset of flutter and it should be light compared to the material damping of the disk, which is in order of 0.01–0.1 [28]. An experiment has been conducted [22] to measure the flutter speeds of two different disks and found that the speed ratio Ωd/Ω in the model should be in a range of 0.8–0.86 in order to for the predicted flutter speeds to agree with measured values. In the present study, we set Ωd/Ω = 0.8 and for this value, we find that the predicted flutter mode and speed are very close to the observed values. The real parts and the imaginary parts of the eigenvalues have been converted into mode frequencies and mode dampings, respectively, and the results versus rotational speed are plotted in Figure 6. Consisting of FTWs and BTWs. The imaginary parts of the eigenvalues, which are shown in Figure 7, are not zero due to aerodynamic loadings. It is seen that damping for BWT modes (0, 3), (0, 4) and (0, 5) are initially positive, but become negative as rotational speed increases, indicating that the rotating disk is unstable or flutter occurs above these speeds, both ϕa and ϕc combined are the source of the instability. The speed at which damping changes from positive to negative is denoted as the flutter speed. Figure 7 shows that flutter occurs first in mode (0, 3), which agrees with observation made by Imai [17]. The flutter speed corresponding to (0, 3) mode is found to be 29,350 rpm for the disk under study. For modes (0, 4), (0, 2), and (0.5), flutter occur at 23,314 rpm, 35,920 rpm, and 38,925 rpm, respectively. It should be pointed out that the accuracy of flutter prediction depends on the model of the aerodynamic loading on the disk, which is another research topic involving aerodynamics of flow around the rotating disk and the disk-air coupling.

The present study focuses on whether flutter can be suppressed by the feedback control technique, and this will be discussed next. If the feedback control is actuated by adding the control term [Pc] in Equation (30), and the control performance is evaluated based on the effect of the control on the imaginary parts of the eigenvalues. It shows that the damping curves are lifted up by the control for modes (0.2), (0, 3), (0, 4) and (0, 5) when the phase shift is set at σ = π/2, as shown in Figure 8. In other words, the flutter speeds for these modes have been increased when feedback control is introduced, and the stability of the rotating disk is therefore improved. How much stability can be improved depends on the control gain. At the correct phase shift (e.g., σ = π/2), the greater the gain is, the more stable the disk will be. For the same configuration of distributed PZT actuator, the performance of the control scheme is dependent mainly on the gain. It indicates that the feedback control is robust when optimal parameters are chosen including the sizes and locations of the distributed PZT actuators.

It may be interesting and beneficial to mention the control mechanism in feedback control of disk flutter. In fact, the aerodynamics involved in the coupling between the air and rotating disk are quite complicated, which is the reason why there are no theoretical models for the aerodynamic loading term, but only empirical ones. However, since flutter is a kind of aeroelastic instability in which aerodynamic energy is supplied to the disk structure through the coupling at a rate faster than it can dissipate, it is reasonable to suggest that the feedback control in this case acts to weaken the air-disk coupling so as to prevent the energy from being supplied into the disk structure. It would be helpful to view the disk with feedback control as a complete dynamical system which is more stable than the original one without control. In engineering practice, it is important to give a guidance as how to obtain an optimal design when using distributed PZT actuators for passive and active flutter control. The characteristics and performance of different configuration of the PZT actuators have been investigated numerically and details will be discussed in the next section.

5. Numerical Studies of Different Feedback Control Schemes

5.1. Control Force Induced by Passive Squeezing Patches

The flutter/vibration of rotating disk can be decreased also by passive squeezing patches [20], as shown in Figure 9, but the configurations of passive patches in terms of number, dimensions and layout have major effect of suppression effectiveness. With the disk rotating at 5,000 rpm, four different case studies are designed and simulated, as shown in Figure 10. The maximum pressure and fluid velocity induced by different passive plates are numerically studied, summarized in Table 3. The contour plots of pressure and velocity generated by passive squeezing patches are shown in Table 4. The generated pressure is maximal when the passive squeezing plate is as near to the disk as possible.

5.2. Control Forces Induced by Different Active Squeezing Patches on Enclosure

In order to obtain approximate optimal parameters for each configuration, only the maximum displacement that is generated by each PZT actuator with different angles is compared here, with the inner radius ri and outer radius ro being fixed as 15 mm and 30 mm, respectively. The different sizes and shapes of active PZT actuator, as shown in Figure 10, are also simulated under 10 volts.

Detailed simulation results are shown in Table 5. In the case of one single actuator patch, a better control for the first three flutter modes can be achieved when the PZT sector is the 360 degree in center of disk cover. For flutter mode of a disk in real operating conditions to be control, the corresponding configuration needs to be selected.

6. Conclusions

Feedback control mechanism using PZT patches via air-coupled pressure to suppress flutter of rotating disks in an air-filled enclosure has been studied in this paper. The stability of the rotating disk enclosure system, together with the feedback control, has been studied by calculating and examining the eigenvalues of the disk modes. It has been shown that the vibration of a rotating disk is strongly coupled with both its ambient flow field and the acoustic field induced due to disk vibrations. Disk flutter is observed for some modes when rotational speed is above certain values.

The control forces are related to the velocity induced by the PZT actuator, which is proportional to the vibration displacement of the enclosure cover. Such vibration displacements generated by the actuator patches have been investigated under different configurations in terms of the number of patches, the area of individual patch and the spatial distribution between the patches. The configurations of PZT actuator patches affect flutter control performance through the dynamics of air flow that alter the control force matrix. Such control force matrix is evaluated through numerical analysis of the disk-enclosure-actuator system under certain parameters for four different cases, namely, one patch, two patches, three patches, and four patches. The results demonstrate that the control of flutter suppression can in general be achieved by either a single actuator patch or multiple patches. In case of one single actuator patch, a better control for all three flutter modes can be achieved when the sector angle is 360 degrees pasted in center. In case of two/three actuator patches, the optimization study shows that a better control performance to suppress all three flutter modes, especially for the high flutter modes, can be achieved by manipulating the relative locations of actuator patches and different control phases among them. Further studies on parameter optimizations such as the radius of PZT actuator as well as positions will be conducted and results will be reported in due time.

Acknowledgments

The authors would like to acknowledge the financial support for the work carried out from the Natural Science Foundation of China (51075377, 50805135), Natural Science Foundation of Zhejiang Province (R1100015, Y7100512) and Open Foundation of State Key Lab of Fluid Power and Mechatronic Systems in Zhejiang University (GZKF-201017) and Key Innovation Team Support Project of Zhejiang Province (2009R50050).

References

  1. Lee, SY; Kim, JD; Kim, S. Critical and flutter speeds of optical disks. Microsyst. Technol 2002, 8, 206–211. [Google Scholar]
  2. Jana, A; Raman, A. Nonlinear aeroelastic flutter phenomena of a flexible disk rotating in an unbounded fluid. J. Fluid. Struct 2005, 20, 993–1006. [Google Scholar]
  3. Jana, A; Raman, A. Aeroelastic flutter of a disk rotating in an unbounded acoustic medium. J. Sound Vibrat 2006, 289, 612–631. [Google Scholar]
  4. Kirpekara, S; Bogy, DB. Computing the aeroelastic disk vibrations in a hard disk drive. J. Fluid. Struct 2008, 24, 75–95. [Google Scholar]
  5. Cheng, CC; Wu, FT; Ho, KL. Reduction of flow-induced vibration and noise of an optical disk drive. J. Sound Vibrat 2009, 320, 43–59. [Google Scholar]
  6. Lennemann, E. Aerodynamic aspects of disk files. IBM J. Res. Dev 1974, 18, 480–488. [Google Scholar]
  7. Hosaka, H; Crandall, SH. Self-excited vibrations of a flexible disk rotating on an air film above a flat surface. Acta Mech 1992, 3, 115–127. [Google Scholar]
  8. Huang, F; Mote, CD, Jr. On the instability mechanism of a disk rotating close to a rigid surface. J. Appl. Mech 1995, 62, 764–771. [Google Scholar]
  9. Kim, BC; Raman, A; Mote, CD, Jr. Prediction of aeroelastic flutter in a hard disk drive. J. Sound Vibrat 2000, 238, 309–325. [Google Scholar]
  10. Lee, SY; Kim, JD; Kim, S. Critical and Flutter Speed of Optical Disks. Microsyst. Techn 2002, 2, 206–211. [Google Scholar]
  11. Hansen, M; Raman, A; Mote, CD, Jr. Estimation of nonconservative aerodynamic pressure leading to flutter of spinning disks. J. Fluid. Struct 2001, 15, 39–57. [Google Scholar]
  12. Yasuda, K; Torii, T; Shimizu, T. Self-excited oscillations of a circular disk rotating in air. JSME Int. J 1992, 35, 347–352. [Google Scholar]
  13. Renshaw, AA. Critical speed for floppy disks. ASME J. Appl. Mech 1998, 65, 116–120. [Google Scholar]
  14. D’Angelo, C; Mote, CD, Jr. Aerodynamically excited vibration and flutter of a thin disk rotating at supercritical speed. J. Sound Vibrat 1993, 168, 15–30. [Google Scholar]
  15. Renshaw, AA; D’Angelo, C; Mote, CD, Jr. Aerodynamically excited vibration of a rotating disk. J. Sound Vibrat 1994, 177, 577–590. [Google Scholar]
  16. Imai, S; Tokuyama, M; Yamaguchi, Y. Reduction of disk flutter by decreasing disk-to-shroud spacing. IEEE Trans. Magnet 1999, 35, 2301–2303. [Google Scholar]
  17. Imai, S. Fluid dynamics mechanism of disk flutter by measuring the pressure between disks. IEEE Trans. Magnet 2001, 37, 837–841. [Google Scholar]
  18. Heo, B; Shen, IY; Riley, JJ. Reducing disk flutter by improving aerodynamic design of base castings. IEEE Trans. Magnet 2000, 36, 2222–2224. [Google Scholar]
  19. Bittner, H; Shen, IY. Taming disk/spindle vibrations through aerodynamic bearings and acoustically tuned-mass dampers. IEEE Trans. Magnet 1999, 35, 827–832. [Google Scholar]
  20. Deeyiengyang, S; Ono, K. Suppression of resonance amplitude of disk vibration by squeeze air bearing plate. IEEE Trans. Magnet 2001, 37, 820–825. [Google Scholar]
  21. Yan, TH; Lin, RM. Feedback control of disk vibration and flutter by distributed self-sensing actuators. Proceedings of IEEE/ASME Asia-Pacific Magnetic Recording Conference 2002, Singapore, 26–28 August 2002.
  22. Huang, XY; Wang, X; Yap, FF. Feedback control of rotating disk flutter in an enclosure. J. Fluid. Struct 2004, 19, 917–932. [Google Scholar]
  23. Huang, XY; Hoque, ME; Wang, X. An experimental study on feedback control of rotating Disk flutter. J. Fluid. Struct 2005, 20, 71–80. [Google Scholar]
  24. D’Angelo, C; Mote, CD, Jr. Natural frequencies of a thin disk clamped by thick collars with friction at the contacting surfaces spinning at high rotating speed. J. Sound Vibrat 1993, 168, 1–14. [Google Scholar]
  25. Wang, XZ; Huang, XY. Feedback control and optimization for rotating disk flutter suppression with actuator patches. AIAA J 2006, 44, 892–900. [Google Scholar]
  26. Sokolnikoff, IS. Mathematical Theory of Elasticity, 2nd ed; McGraw–Hill: New York, NY, USA, 1956. [Google Scholar]
  27. Chonan, S; Mikami, T; Ishikawa, H. The vibration and critical speeds of rotating sawblades (in Japanese). Proc. JSME 1985, 52, 1805–1812. [Google Scholar]
  28. Jones, DG. Handbook of Viscoelastic Vibration Damping; Wiley: New York, NY, USA, 2000. [Google Scholar]
Figure 1. A schematic diagram of a rotating disk in the presence of fluid media in a cylindrical enclosure.
Figure 1. A schematic diagram of a rotating disk in the presence of fluid media in a cylindrical enclosure.
Sensors 11 03094f1 1024
Figure 2. The Feedback Control of Disk Vibration/Flutter via DSSA [21].
Figure 2. The Feedback Control of Disk Vibration/Flutter via DSSA [21].
Sensors 11 03094f2 1024
Figure 3. Schematic diagram of feedback control with multi-actuators.
Figure 3. Schematic diagram of feedback control with multi-actuators.
Sensors 11 03094f3 1024
Figure 4. Mode frequency versus rotational speed of disk platter without air coupling.
Figure 4. Mode frequency versus rotational speed of disk platter without air coupling.
Sensors 11 03094f4 1024
Figure 5. Measured Modeshapes of Modes (0,2), (0,3) and (0,4) of Disk Platter.
Figure 5. Measured Modeshapes of Modes (0,2), (0,3) and (0,4) of Disk Platter.
Sensors 11 03094f5 1024
Figure 6. Mode frequency versus rotational speed of disk platter in the enclosure with air coupling.
Figure 6. Mode frequency versus rotational speed of disk platter in the enclosure with air coupling.
Sensors 11 03094f6 1024
Figure 7. Imaginary part of the eigenvalues versus rotational speed for modes (0,0)∼(0,5) of the disk in the enclosure with air-coupling.
Figure 7. Imaginary part of the eigenvalues versus rotational speed for modes (0,0)∼(0,5) of the disk in the enclosure with air-coupling.
Sensors 11 03094f7 1024
Figure 8. The effect of feedback control on Im (λ) with Gain = 1.0 and Phase (shift) = 90° for disk modes (0, 2)∼(0, 5) versus rotational speed.
Figure 8. The effect of feedback control on Im (λ) with Gain = 1.0 and Phase (shift) = 90° for disk modes (0, 2)∼(0, 5) versus rotational speed.
Sensors 11 03094f8 1024
Figure 9. Passive Squeezing Plates for Rotating Disk Vibration/Flutter Control.
Figure 9. Passive Squeezing Plates for Rotating Disk Vibration/Flutter Control.
Sensors 11 03094f9 1024
Figure 10. Passive Squeezing Plates for Vibration and Flutter Control (Top View).
Figure 10. Passive Squeezing Plates for Vibration and Flutter Control (Top View).
Sensors 11 03094f10 1024
Table 1. Geometric and material parameters of the hard disk platter.
Table 1. Geometric and material parameters of the hard disk platter.
ParameterValue
Young’s modulus, E71 (GPa)
Density of disk, ρd2.7 × 103 (kg/m3)
Outer radius, ro4.474 (cm)
Inner radius, ri1.56 (cm)
Outer radius of the enclosure, re4.94 cm
Thickness, h0.790 (mm)
Poisson’s ratio of the disk, ν0.33
Density of air, ρa1.21 (kg/m3)
Speed of sound in air, a343 (m/s)
Table 2. Comparisons of Numerical and Experimental Results (Rotating Speed Ω = 5,400 rpm).
Table 2. Comparisons of Numerical and Experimental Results (Rotating Speed Ω = 5,400 rpm).
ModeAnalysis (Hz)Experiments [17] (Hz)Percentage Error %
(0,0)6446046.62%
(0,1)F7297004.14%
(0,1)B5495205.58%
(0,2)F9369004.00%
(0,2)B5765445.88%
(0,3)F1,4651,480−1.01%
(0,3)B9258923.70%
Table 3. The Control Effectiveness Generated by Passive Squeezing Patches.
Table 3. The Control Effectiveness Generated by Passive Squeezing Patches.
Parameters
ConfigurationDistance to Disk Surface (mm)Generated Pressure (atm)Generated Maximum Speed (m/s)
Case 1: Two Squeezing Plates0.51.94571
1.01.66533
1.51.48497
Case 2: Three Squeezing Plates0.51.88566
1.01.79542
1.51.62519
Case 3: Four Squeezing Plates0.51.86561
1.01.73540
1.51.57511
Table 4. Contour plots of Pressure and Velocity Generated by Passive Squeezing Patches.
Table 4. Contour plots of Pressure and Velocity Generated by Passive Squeezing Patches.
Cased = 0.5 mmd = 1.0 mmd = 1.5 mm
Case 1 Sensors 11 03094i1
Max Pressure 1.94 (atm)
Sensors 11 03094i2
Max Pressure 1.66 (atm)
Sensors 11 03094i3
Max Pressure 1.48 (atm)
Sensors 11 03094i4
Max Speed: 571 m/s
Sensors 11 03094i5
Max Speed: 533 m/s
Sensors 11 03094i6
Max Speed: 497 m/s
Case 2 Sensors 11 03094i7
Max Pressure 1.88 (atm)
Sensors 11 03094i8
Max Pressure 1.79 (atm)
Sensors 11 03094i9
Max Pressure 1.62 (atm)
Sensors 11 03094i10
Max Speed: 566 m/s
Sensors 11 03094i11
Max Speed: 542 m/s
Sensors 11 03094i12
Max Speed: 519 m/s
Case 3 Sensors 11 03094i13
Max Pressure 1.86 (atm)
Sensors 11 03094i14
Max Pressure 1.73 (atm)
Sensors 11 03094i15
Max Pressure 1.57 (atm)
Sensors 11 03094i16
Max Speed: 561 m/s
Sensors 11 03094i17
Max Speed: 540 m/s
Sensors 11 03094i18
Max Speed: 511 m/s
Table 5. Contour Plots of Displacement Generated by Active PZT Patches on Encclosure.
Table 5. Contour Plots of Displacement Generated by Active PZT Patches on Encclosure.
Case 1 One PZT Patch
Sensors 11 03094i19
Δθ = 30°, Zsum = 0.0868 μm
Sensors 11 03094i20
Δθ = 45°, Zsum = 0.117 μm,
Sensors 11 03094i21
Δθ = 60°, Zsum = 0.142 μm
Sensors 11 03094i22
Δθ = 90°, Zsum = 0.189 μm,
Sensors 11 03094i23
Δθ = 120°, Zsum = 0.224 μm
Sensors 11 03094i24
Δθ = 150°, Zsum = 0.245 μm
Sensors 11 03094i25
Δθ = 180°, Zsum = 0.263 μm
Sensors 11 03094i26
Δθ = 270°, Zsum = 0.296 μm
Sensors 11 03094i27
Δθ = 360°
Sensors 11 03094i28
Δθ = 360°, Zsum = 0.383 μm
Sensors 11 03094i29
Δθ = 360°, r0 = 0.5 r0, ri = 0
Sensors 11 03094i30
Δθ = 360°, Zsum = 0.476 μm
Case 2 Two PZT Patches (α = 120°)
Sensors 11 03094i31
Δθ = 30°, Zsum = 0.0828 μm
Sensors 11 03094i32
Δθ = 45°, Zsum = 0.112 μm
Sensors 11 03094i33
Δθ = 60°, Zsum = 0.140 μm
Sensors 11 03094i34
Δθ = 90°, Zsum = 0.192 μm
Case 2 Two PZT Patches (α = 180°)
Sensors 11 03094i35
Δθ = 30°, Zsum = 0.0835 μm
Sensors 11 03094i36
Δθ = 45°, Zsum = 0.113 μm
Sensors 11 03094i37
Δθ = 60°, Zsum = 0.139 μm
Sensors 11 03094i38
Δθ = 90°, Zsum = 0.181 μm
Sensors 11 03094i39
Δθ = 120°, Zsum = 0.225 μm
Sensors 11 03094i40
Δθ = 150°, Zsum = 0.253 μm
Case 3 Three PZT Patches (Δβ = 120°)
Sensors 11 03094i41
Δθ = 30°, Zsum = 0.0762 μm
Sensors 11 03094i42
Δθ = 45°, Zsum = 0.0990 μm
Sensors 11 03094i43
Δθ = 60°, Zsum = 0.114 μm
Sensors 11 03094i44
Δθ = 90°, Zsum = 0.139 μm
Case 4 Four PZT Patches (Δβ = 90°)
Sensors 11 03094i45
Δθ = 30°, Zsum = 0.0736 μm
Sensors 11 03094i46
Δθ = 45°, Zsum = 0.0967 μm
Sensors 11 03094i47
Δθ = 60°, Zsum = 0.115 μm
Sensors 11 03094i48
Δθ = 75°, Zsum = 0.140 μm
Back to TopTop