Research

18 pages, 4247 KiB

Open AccessArticle

A Comprehensive Virtual Synchronous Generator Control Strategy for Harmonic and Imbalance Voltage Suppression of Multi-Inverter Parallel Microgrid

by Yannan Dong, Shaohua Ma, Zijiao Han, Henan Dong and Xiangjun Li

Electronics 2022, 11(3), 492; https://doi.org/10.3390/electronics11030492 - 08 Feb 2022

Cited by 6 | Viewed by 1963

Abstract

To reduce the impact of the imbalance of mixed non-linear loads on an inverter voltage output in the microgrid, we improve the disadvantage of the lack of damping and inertia for traditional droop control. This paper proposes a comprehensive virtual synchronous generator (VSG) [...] Read more.

To reduce the impact of the imbalance of mixed non-linear loads on an inverter voltage output in the microgrid, we improve the disadvantage of the lack of damping and inertia for traditional droop control. This paper proposes a comprehensive virtual synchronous generator (VSG) control strategy for harmonic suppression and imbalance suppression of a multi-inverter parallel microgrid. On one hand, an improved VSG control strategy is proposed to increase the damping and inertia of distributed generations (DGs) in the microgrid, and secondary control is introduced to improve system stability. On the other hand, the frequency division suppression control strategy is used to eliminate the influence of harmonics, and the negative sequence component is compensated to eliminate the influence of imbalance. Then small-signal analysis is used for analysis of the stability of the strategy. Finally, we verify the comprehensive control strategy proposed in this paper through experiments. The experimental results suggest a significant improvement on the voltage, frequency, power optimization, handling of non-linear load and capacity distribution precision, as well as providing inertia support for the system. Full article

(This article belongs to the Special Issue Control of Nonlinear Systems and Industrial Processes)

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16 pages, 11733 KiB

Open AccessArticle

Using Graphics Processing Units and Compute Shaders in Real Time Multimodel Adaptive Robust Control

by Cosmin-Constantin Mihai and Ciprian Lupu

Electronics 2021, 10(20), 2462; https://doi.org/10.3390/electronics10202462 - 11 Oct 2021

Cited by 1 | Viewed by 1439

Abstract

Graphics processing units and video cards have seen a surge of usage in domains other than graphics computers, due to advances in hardware and software technologies; however, little uptake has been in the domain of systems engineering and real time control. This research [...] Read more.

Graphics processing units and video cards have seen a surge of usage in domains other than graphics computers, due to advances in hardware and software technologies; however, little uptake has been in the domain of systems engineering and real time control. This research article will demonstrate the use of video cards in multimodel adaptive robust control, using openGL and compute shaders. A software simulation will show the behavior of the adaptive robust multimodel control scheme as the target process is exposed to both parametric and structural disturbances and will show the viability of using graphics processing units in real time systems control. Full article

(This article belongs to the Special Issue Control of Nonlinear Systems and Industrial Processes)

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27 pages, 745 KiB

Open AccessArticle

Robust Asynchronous H_∞ Observer-Based Control Design for Discrete-Time Switched Singular Systems with Time-Varying Delay and Sensor Saturation: An Average Dwell Time Approach

by Mohamed Amin Regaieg, Mourad Kchaou, Houssem Jerbi, Attia Boudjemline and Ahmed Hafaifa

Electronics 2021, 10(19), 2334; https://doi.org/10.3390/electronics10192334 - 23 Sep 2021

Cited by 3 | Viewed by 1356

Abstract

This work discuss the robust stabilization problem for discrete-time switched singular systems with simultaneous presence of time-varying delay and sensor nonlinearity. To this end, an observer-based controller was synthesized that works under asynchronous switching signals. Investigating the average dwell time approach and using [...] Read more.

This work discuss the robust stabilization problem for discrete-time switched singular systems with simultaneous presence of time-varying delay and sensor nonlinearity. To this end, an observer-based controller was synthesized that works under asynchronous switching signals. Investigating the average dwell time approach and using a Lyapunov–Krasovskii functional with triple sum terms, sufficient conditions were derived for achieving the existence of such asynchronous controller and guaranteeing the resulting closed-loop system to be exponentially admissible with

H_{\infty}

performance level. Subsequently, the effectiveness of the proposed control scheme was verified through two numerical examples. Full article

(This article belongs to the Special Issue Control of Nonlinear Systems and Industrial Processes)

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20 pages, 1012 KiB

Open AccessArticle

Prescribed Performance-Based Event-Driven Fault-Tolerant Robust Attitude Control of Spacecraft under Restricted Communication

by Syed Muhammad Amrr, Abdulrahman Alturki, Ankit Kumar and M. Nabi

Electronics 2021, 10(14), 1709; https://doi.org/10.3390/electronics10141709 - 16 Jul 2021

Cited by 6 | Viewed by 2282

Abstract

This paper explores the problem of attitude stabilization of spacecraft under multiple uncertainties and constrained bandwidth resources. The proposed control law is designed by combining the sliding mode control (SMC) technique with a prescribed performance control (PPC) method. Further, the control input signal [...] Read more.

This paper explores the problem of attitude stabilization of spacecraft under multiple uncertainties and constrained bandwidth resources. The proposed control law is designed by combining the sliding mode control (SMC) technique with a prescribed performance control (PPC) method. Further, the control input signal is executed in an aperiodic time framework using the event-trigger (ET) mechanism to minimize the control data transfer through a constrained wireless network. The SMC provides robustness against inertial uncertainties, disturbances, and actuator faults, whereas the PPC strategy aims to achieve a predefined system performance. The PPC technique is developed by transforming the system attitude into a new variable using the prescribed performance function, which acts as a predefined constraint for transient and steady-state responses. In addition, the ET mechanism updates the input value to the actuator only when there is a violation of the triggering rule; otherwise, the actuator output remains at a fixed value. Moreover, the proposed triggering rule is constituted through the Lyapunov stability analysis. Thus, the proposed approach can be extended to a broader class of complex nonlinear systems. The theoretical analyses prove the uniformly ultimately bounded stability of the closed-loop system and the non-existence of the Zeno behavior. The effectiveness of the proposed methodology is also presented along with the comparative studies through simulation results. Full article

(This article belongs to the Special Issue Control of Nonlinear Systems and Industrial Processes)

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16 pages, 4112 KiB

Open AccessArticle

The Remote Control of the Artillery Rocket Set as a Strongly Nonlinear System Subject to Random Loads

by Zbigniew Koruba and Piotr Szmidt

Electronics 2021, 10(13), 1507; https://doi.org/10.3390/electronics10131507 - 22 Jun 2021

Cited by 3 | Viewed by 1745

Abstract

On the modern battlefield, fighting capabilities, such as speed, target detection range, target identification capabilities, and shooting effectiveness, of short-range artillery rocket sets (ARSs) are constantly being improved. Problems arise when attempting to successfully fire such kits in the face of disruption from [...] Read more.

On the modern battlefield, fighting capabilities, such as speed, target detection range, target identification capabilities, and shooting effectiveness, of short-range artillery rocket sets (ARSs) are constantly being improved. Problems arise when attempting to successfully fire such kits in the face of disruption from both the cannon and the moving platform on which the cannon is mounted. Furthermore, the set is a variable mass system since it can fire anywhere from a few to dozens or even hundreds of missiles in a brief period of time, implying that the ARS is a highly nonlinear system of variable parameters (non-stationary). This work shows how to control such a system. If the ARS is placed on a moving basis where there is both a system and measurement noise, the state variables must be restored, and the ARS data must be filtered. Therefore, in addition to the LQR regulator, an extended Kalman filter was used. As a consequence of this synthesis, an LQG (linear quadratic Gaussian) regulator of ARS was obtained, which was used to follow the target along the line of sight. The key goal of this paper is to develop control algorithms that will increase the performance of ARS control in elevation and azimuth, as well as the accuracy of achieving and eliminating maneuverable air targets. Moreover, through the quality criterion adopted, we hope to affect control energy costs while maintaining control precision. Graphical representations of certain computational simulation results are provided. Full article

(This article belongs to the Special Issue Control of Nonlinear Systems and Industrial Processes)

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20 pages, 1187 KiB

Open AccessArticle

Finite-Time Adaptive Higher-Order SMC for the Nonlinear Five DOF Active Magnetic Bearing System

by Sudipta Saha, Syed Muhammad Amrr, Abdelaziz Salah Saidi, Arunava Banerjee and M. Nabi

Electronics 2021, 10(11), 1333; https://doi.org/10.3390/electronics10111333 - 01 Jun 2021

Cited by 15 | Viewed by 2099

Abstract

The active magnetic bearings (AMB) play an essential role in supporting the shaft of fast rotating machines and controlling the displacements in the rotors due to the deviation in the shaft. In this paper, an adaptive integral third-order sliding mode control (AITOSMC) is [...] Read more.

The active magnetic bearings (AMB) play an essential role in supporting the shaft of fast rotating machines and controlling the displacements in the rotors due to the deviation in the shaft. In this paper, an adaptive integral third-order sliding mode control (AITOSMC) is proposed. The controller suppresses the deviations in the rotor and rejects the system uncertainties and unknown disturbances present in the five DOF AMB system. The application of AITOSMC alleviates the problem of high-frequency switching called chattering, which would otherwise restrict the practical application of sliding mode control (SMC). Moreover, adaptive laws are also incorporated in the proposed approach for estimating the controller gains. Further, it also prevents the problem of overestimation and avoids the use of a priori assumption about the upper bound knowledge of total disturbance. The Lyapunov and homogeneity theories are exploited for the stability proof, which guarantees the finite-time convergence of closed-loop and output signals. The numerical analysis of the proposed strategy illustrates the effective performance. Furthermore, the comparative analysis with the existing control schemes demonstrates the efficacy of the proposed controller. Full article

(This article belongs to the Special Issue Control of Nonlinear Systems and Industrial Processes)

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41 pages, 24621 KiB

Open AccessArticle

Optimal Identification and Metaheuristic PID Control of a Two-Tank System

by Dan Stefanoiu and Janetta Culita

Electronics 2021, 10(9), 1101; https://doi.org/10.3390/electronics10091101 - 07 May 2021

Cited by 3 | Viewed by 2491

Abstract

In the modern optimization context, this paper introduces an optimal PID-based control strategy for a two-tank installation, namely ASTANK2. The process model was identified by using raw and spline smoothed measured data, respectively. Two PID controller configurations, a standard (regular) one (PID-R) and [...] Read more.

In the modern optimization context, this paper introduces an optimal PID-based control strategy for a two-tank installation, namely ASTANK2. The process model was identified by using raw and spline smoothed measured data, respectively. Two PID controller configurations, a standard (regular) one (PID-R) and a non-standard one (PID-N), were considered for each type of model, resulting in four regulators. The optimal tuning parameters of each regulator were obtained by a searching approach relying on a combination of two metaheuristics. Firstly, an improved version of the Hill Climbing algorithm was employed to comprehensively explore the searching space, aiming to find fairly accurate tuning parameters. Secondly, an improved version of the Firefly Algorithm was proposed to intensively refine the search around the previously found optimal parameters. A comparative analysis between the four controllers was achieved in terms of performance and robustness. The simulation results showed that all optimal controllers yielded good performance in the presence of exogenous stochastic noise (bounded error tracking, setpoint tracking, reduced overshoot, short settling time). Robustness analysis is extensive and illustrates that the PID-R controllers are more robust to model uncertainties, whilst PID-N controllers are more robust to tracking staircase type references. Full article

(This article belongs to the Special Issue Control of Nonlinear Systems and Industrial Processes)

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16 pages, 7775 KiB

Open AccessArticle

Modeling and Recipe Optimization of Anti-Glare Process Using Sandblasting for Electronic Display Glass

by Chul Hong Min, Yoon Sung Kang and Tae Seon Kim

Electronics 2020, 9(12), 2048; https://doi.org/10.3390/electronics9122048 - 02 Dec 2020

Cited by 3 | Viewed by 2223

Abstract

Recently, anti-glare (AG) surface treatment technology has been considered as a standard process to enhance the visibility of electronic display devices. For AG, the hydrofluoric acid (HF)-based chemical etch method is the most common approach for the current display glass industry. However, in [...] Read more.

Recently, anti-glare (AG) surface treatment technology has been considered as a standard process to enhance the visibility of electronic display devices. For AG, the hydrofluoric acid (HF)-based chemical etch method is the most common approach for the current display glass industry. However, in order to overcome the environmental and durability degradation problems of the HF-based chemical etch method, this paper proposes an eco-friendly physical surface treatment technology using the sandblasting method. Based on the preliminary analysis results using the central composite design (CCD) method-based response surface modeling methodology (RSM), additional experiments and analyses were performed for process modeling and optimal process recipe generation. To characterize the sandblasting process, the mean value of haze was considered as the process output, and the pressure of the nozzle, the distance of the nozzle from the surface of glass, the glass feed rate, and the grit size of the abrasives were considered as process inputs. Based on the process model using the statistical response surface regression method and machine learning-based approaches, the proposed method can generate optimized process recipes for various haze targets of 10%, 20%, and 30%, with an average haze difference of 0.84%, 0.02%, and 0.86%, and maximum deviations of 1.26%, 1.14%, and 1.4%, respectively. Through the successful completion of this work, it is expected that the proposed surface treatment method can be applied to various products including mobile phones, tablet PCs, and windshields of vehicles. Full article

(This article belongs to the Special Issue Control of Nonlinear Systems and Industrial Processes)

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26 pages, 7622 KiB

Open AccessEditor’s ChoiceArticle

Chaotic Particle Swarm Optimisation for Enlarging the Domain of Attraction of Polynomial Nonlinear Systems

by Faiçal Hamidi, Messaoud Aloui, Houssem Jerbi, Mourad Kchaou, Rabeh Abbassi, Dumitru Popescu, Sondess Ben Aoun and Catalin Dimon

Electronics 2020, 9(10), 1704; https://doi.org/10.3390/electronics9101704 - 16 Oct 2020

Cited by 12 | Viewed by 2165

Abstract

A novel technique for estimating the asymptotic stability region of nonlinear autonomous polynomial systems is established. The key idea consists of examining the optimal Lyapunov function (LF) level set that is fully included in a region satisfying the negative definiteness of its time [...] Read more.

A novel technique for estimating the asymptotic stability region of nonlinear autonomous polynomial systems is established. The key idea consists of examining the optimal Lyapunov function (LF) level set that is fully included in a region satisfying the negative definiteness of its time derivative. The minor bound of the biggest achievable region, denoted as Largest Estimation Domain of Attraction (LEDA), can be calculated through a Generalised Eigenvalue Problem (GEVP) as a quasi-convex Linear Inequality Matrix (LMI) optimising approach. An iterative procedure is developed to attain the optimal volume or attraction region. Furthermore, a Chaotic Particular Swarm Optimisation (CPSO) efficient technique is suggested to compute the LF coefficients. The implementation of the established scheme was performed using the Matlab software environment. The synthesised methodology is evaluated throughout several benchmark examples and assessed with other results of peer technique in the literature. Full article

(This article belongs to the Special Issue Control of Nonlinear Systems and Industrial Processes)

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