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Actuators
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Piezoelectric Actuators and Transducers: Materials, Design, Control and Applications
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Piezoelectric Actuators and Transducers: Materials, Design, Control and Applications

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Actuator Materials".

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 8554

Special Issue Editor

Prof. Dr. Katsushi Furutani

E-Mail Website
Guest Editor
Department of Advanced Science and Technology, Faculty of Engineering, Toyota Technological Institute, 12-1, Hisakata 2-Chome, Tempaku-ku, Nagoya 468-8511, Japan
Interests: piezoelectric actuator; piezoelectric mover; control of piezoelectric actuator; driver for piezoelectric actuator; near-field ultrasonic levitation; vibration-assisted machining
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Piezoelectric actuators are often used in precision positioning devices because of their nanometer-order resolution. In addition, they are small and light and generate a large blocking force. On the other hand, the deformation of piezoelectric actuators is generally limited to several tens of micrometers. In order to overcome this disadvantage, they are often combined with mechanisms to enlarge the movable range by accumulating minute motions. Since hysteresis and creep also deteriorate the performance of piezoelectric actuators, displacement, supplied electric charge, or driving current are fed back for closed-loop or sensor-less control methods. Some models that compensate for hysteresis have also been studied. Smart structures with collocated piezoelectric composite can suppress vibration. These developments expand and enhance their applications to science, technology, precision engineering, and industry, such as material science, space science, nanotechnology, biotechnology, precision machining, and semiconductor production. This Special Issue will collect contributions related (but not limited) to the following topics: 

  • piezoelectric positioners, movers, and motors
  • driver
  • Control strategy
  • modelling/ simulation
  • energy harvesting
  • piezoelectric composites and smart structures
  • piezoelectric and structural health monitoring
  • near-field ultrasonic levitation
  • applications to science, technology, precision engineering, and industry

Prof. Dr. Katsushi Furutani
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Actuators is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • piezoelectric positioners, movers, and motors
  • driver
  • Control strategy
  • modelling/ simulation
  • energy harvesting
  • piezoelectric composites and smart structures
  • piezoelectric and structural health monitoring
  • near-field ultrasonic levitation
  • applications to science, technology, precision engineering, and industry

Published Papers (4 papers)

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Research

23 pages, 9967 KiB  
Article
Robust Tracking Control of Piezo-Actuated Nanopositioning Stage Using Improved Inverse LSSVM Hysteresis Model and RST Controller
by Ayad G. Baziyad, Irfan Ahmad, Yasser Bin Salamah and Abdulaziz Alkuhayli
Actuators 2022, 11(11), 324; https://doi.org/10.3390/act11110324 - 07 Nov 2022
Cited by 7 | Viewed by 1888
Abstract
Nanopositioning technology is widely used in high-resolution applications. It often uses piezoelectric actuators due to their superior characteristics. However, piezoelectric actuators exhibit a hysteresis phenomenon that limits their positioning accuracy. To compensate for the hysteresis effect, developing an accurate hysteresis model of piezoelectric [...] Read more.
Nanopositioning technology is widely used in high-resolution applications. It often uses piezoelectric actuators due to their superior characteristics. However, piezoelectric actuators exhibit a hysteresis phenomenon that limits their positioning accuracy. To compensate for the hysteresis effect, developing an accurate hysteresis model of piezoelectric actuators is very important. This task is challenging, requiring some considerations of the multivalued mapping of hysteresis loops and the generalization capabilities of the model. This challenge can be dealt with by developing a machine learning-based model, whose inverse model can be used to efficiently design an accurate feedforward controller for hysteresis compensation. However, this approach depends on model accuracy and the type of data used to train the model. Thus, accurate prediction of the hysteresis behavior may not be guaranteed in the presence of disturbances. In this paper, a machine learning-based model is used to design a hysteresis compensator and then combined with a robust feedback controller to enhance the robustness of a nanopositioning control system. The proposed model is based on hysteresis operators, the least square support vector machine (LSSVM) method, and particle swarm optimization (PSO) algorithm. The inverse model is used to design the feedforward controller, and the RST controller is employed to develop feedback control. Our main contribution is the introduction of a hybrid controller capable of compensating for the hysteresis effect, and at the same time, eliminating remaining modeling errors and rejecting disturbances. The performance of the proposed approach is evaluated through MATLAB simulation, as well as through real-time experiments. The experimental results of our approach demonstrate superior tracking performance compared with the PID-LSSVM controller. Full article
(This article belongs to the Special Issue Piezoelectric Actuators and Transducers: Materials, Design, Control and Applications)
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26 pages, 7728 KiB  
Article
Application of Least-Squares Support-Vector Machine Based on Hysteresis Operators and Particle Swarm Optimization for Modeling and Control of Hysteresis in Piezoelectric Actuators
by Ayad G. Baziyad, Adnan S. Nouh, Irfan Ahmad and Abdulaziz Alkuhayli
Actuators 2022, 11(8), 217; https://doi.org/10.3390/act11080217 - 02 Aug 2022
Cited by 8 | Viewed by 2105
Abstract
Nanopositioning systems driven by piezoelectric actuators are widely used in different fields. However, the hysteresis phenomenon is a major factor in reducing the positioning accuracy of piezoelectric actuators. This effect makes the task of accurate modeling and position control of piezoelectric actuators challenging. [...] Read more.
Nanopositioning systems driven by piezoelectric actuators are widely used in different fields. However, the hysteresis phenomenon is a major factor in reducing the positioning accuracy of piezoelectric actuators. This effect makes the task of accurate modeling and position control of piezoelectric actuators challenging. In this paper, the learning and generalization capabilities of the model are efficiently enhanced to describe and compensate for the rate-independent and rate-dependent hysteresis using a kernel-based learning method. The proposed model is inspired by the classical Preisach hysteresis model, in which a set of hysteresis operators is used to address the problem of mapping, and then least-squares support-vector machines (LSSVM) combined with a particle swarm optimization (PSO) algorithm are used for identification. Two control schemes are proposed for hysteresis compensation, and their performance is evaluated through real-time experiments on a nanopositioning platform. First, an inverse model-based feedforward controller is designed based on the LSSVM model, and then a combined feedback/feedforward control scheme is designed using a classical control strategy (PID) to further enhance the tracking performance. For performance evaluation, different datasets with a variety of hysteresis loops are used during the simulation and experimental procedures. The results show that the proposed method is successful in enhancing the generalization capabilities of LSSVM training and achieving the best tracking performance based on the combination of feedforward control and PID feedback control. The proposed control scheme outperformed the inverse Preisach model-based control scheme in terms of both positioning accuracy and execution time. The control scheme that uses the LSSVM based on nonlinear autoregressive exogenous (NARX) models has significantly less computational complexity compared to our control scheme but at the expense of accuracy. Full article
(This article belongs to the Special Issue Piezoelectric Actuators and Transducers: Materials, Design, Control and Applications)
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12 pages, 1931 KiB  
Article
Electroelastic Coupled-Wave Scattering and Dynamic Stress Concentration of Piezoceramics Containing Regular N-Sided Holes
by Jiang Lin, Chuanping Zhou, Xiao Han, Yongping Gong, Jiawei Fan, Junqi Bao, Huawei Ji, Jing Ni and Weihua Zhou
Actuators 2022, 11(7), 202; https://doi.org/10.3390/act11070202 - 19 Jul 2022
Viewed by 1344
Abstract
In this paper, the calculation method of dynamic stress concentration around piezoelectric ceramics containing regular n-sided holes under the action of electroelastic coupling wave was studied, and it was applied to promising barium calcium zirconate titanate material. First, electroelastic governing equations were [...] Read more.
In this paper, the calculation method of dynamic stress concentration around piezoelectric ceramics containing regular n-sided holes under the action of electroelastic coupling wave was studied, and it was applied to promising barium calcium zirconate titanate material. First, electroelastic governing equations were decomposed by using the auxiliary function method, and the solution forms of the elastic wave field and electric field were obtained by using the wave function expansion method. Then, the triangular boundary was simplified to a circular boundary using the mapping function, and the corresponding modal coefficients were determined according to simplified boundary conditions. Finally, the dynamic stress-concentration factor was calculated to characterize the dynamic stress concentration. We performed numerical simulations with a correlation coefficient of (1 − x)[(Ba0.94Ca0.06) (Ti0.92Sn0.08)]-xSm2O3-0.06 mol% GeO2 (abbreviated as (1 − x)BCTS-xSm-0.06G). The numerical calculation results show that the incident wave number, piezoelectric properties, shape parameters of the hole, and deflection angle have a great influence on the dynamic stress around the defect, and some significant laws are summarized through analysis. Full article
(This article belongs to the Special Issue Piezoelectric Actuators and Transducers: Materials, Design, Control and Applications)
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12 pages, 1996 KiB  
Article
Electroelastic Coupled-Wave Scattering and Dynamic Stress Concentration of Triangular Defect Piezoceramics
by Jiang Lin, Huawei Ji, Chuanping Zhou, Jiawei Fan, Xiao Han, Junqi Bao, Yongping Gong, Jing Ni and Weihua Zhou
Actuators 2022, 11(4), 106; https://doi.org/10.3390/act11040106 - 07 Apr 2022
Cited by 1 | Viewed by 2034
Abstract
In this paper, a method to calculate the dynamic stress concentration around the triangular defect of piezoelectric material under electroelastic coupling is studied and applied to the promising barium calcium zirconate titanate. Firstly, the electroelastic governing equation is decomposed by decoupling technique, and [...] Read more.
In this paper, a method to calculate the dynamic stress concentration around the triangular defect of piezoelectric material under electroelastic coupling is studied and applied to the promising barium calcium zirconate titanate. Firstly, the electroelastic governing equation is decomposed by decoupling technique, and the analytical solutions of elastic wave field and electric field are obtained by wave function expansion method. Then, the conformal transformation is used to simplify the triangle boundary into a circular boundary, and the corresponding modal coefficients are determined according to the simplified boundary conditions. Finally, the analytical solution of the dynamic stress concentration factor can be obtained according to the constitutive equation. Substitute the relevant material parameters of (Ba0.85Ca0.15)(Zr0.1Ti0.9)O3 and set different temperatures, Ce doping amount, and incident wave number for numerical simulation. The numerical results show that the incident wave number, piezoelectric properties, and the shape parameters and deflection angle of the triangular defect have a great influence on the dynamic stress around the defect, and some meaningful laws are summarized through analysis. Full article
(This article belongs to the Special Issue Piezoelectric Actuators and Transducers: Materials, Design, Control and Applications)
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