Adaptive Dynamic Surface Integral Sliding Mode Fault-Tolerant Control for Multimachine Excitation Systems with SVC

In this paper, an adaptive dynamic surface integral sliding mode fault-tolerant controller is designed for the multimachine power system with static var compensator (SVC) to overcome the problem of actuator failure. The main features of the proposed method are as follows: (1) By combining the dynami...

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Main Authors: Guoqiang Zhu, Shuang Ji, Zhiwei Li, Yilong Zhang
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/6106794
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spelling doaj-886b1f5876534c18a1fccadfd68078092020-11-25T04:04:30ZengHindawi-WileyComplexity1076-27871099-05262020-01-01202010.1155/2020/61067946106794Adaptive Dynamic Surface Integral Sliding Mode Fault-Tolerant Control for Multimachine Excitation Systems with SVCGuoqiang Zhu0Shuang Ji1Zhiwei Li2Yilong Zhang3School of Automation Engineering, Northeast Electric Power University, Jilin, ChinaSchool of Automation Engineering, Northeast Electric Power University, Jilin, ChinaSchool of Automation Engineering, Northeast Electric Power University, Jilin, ChinaSchool of Automation Engineering, Northeast Electric Power University, Jilin, ChinaIn this paper, an adaptive dynamic surface integral sliding mode fault-tolerant controller is designed for the multimachine power system with static var compensator (SVC) to overcome the problem of actuator failure. The main features of the proposed method are as follows: (1) By combining the dynamic surface control (DSC) method with integral sliding mode (ISM), the tracking errors of the system converge to the neighborhood of zero within a finite time, and the convergence speed, tracking accuracy, and anti-interference ability of the system are also significantly improved. (2) By introducing the failure factors, an adaptive fault-tolerant controller is designed to ensure the stability of the entire system after partial failure of the actuator. (3) By estimating the norm of the ideal weight vector of the radial basis function neural networks (RBFNNs), the computational burden of the controller is reduced. Finally, the simulation results show the effectiveness of the proposed control scheme.http://dx.doi.org/10.1155/2020/6106794
collection DOAJ
language English
format Article
sources DOAJ
author Guoqiang Zhu
Shuang Ji
Zhiwei Li
Yilong Zhang
spellingShingle Guoqiang Zhu
Shuang Ji
Zhiwei Li
Yilong Zhang
Adaptive Dynamic Surface Integral Sliding Mode Fault-Tolerant Control for Multimachine Excitation Systems with SVC
Complexity
author_facet Guoqiang Zhu
Shuang Ji
Zhiwei Li
Yilong Zhang
author_sort Guoqiang Zhu
title Adaptive Dynamic Surface Integral Sliding Mode Fault-Tolerant Control for Multimachine Excitation Systems with SVC
title_short Adaptive Dynamic Surface Integral Sliding Mode Fault-Tolerant Control for Multimachine Excitation Systems with SVC
title_full Adaptive Dynamic Surface Integral Sliding Mode Fault-Tolerant Control for Multimachine Excitation Systems with SVC
title_fullStr Adaptive Dynamic Surface Integral Sliding Mode Fault-Tolerant Control for Multimachine Excitation Systems with SVC
title_full_unstemmed Adaptive Dynamic Surface Integral Sliding Mode Fault-Tolerant Control for Multimachine Excitation Systems with SVC
title_sort adaptive dynamic surface integral sliding mode fault-tolerant control for multimachine excitation systems with svc
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2020-01-01
description In this paper, an adaptive dynamic surface integral sliding mode fault-tolerant controller is designed for the multimachine power system with static var compensator (SVC) to overcome the problem of actuator failure. The main features of the proposed method are as follows: (1) By combining the dynamic surface control (DSC) method with integral sliding mode (ISM), the tracking errors of the system converge to the neighborhood of zero within a finite time, and the convergence speed, tracking accuracy, and anti-interference ability of the system are also significantly improved. (2) By introducing the failure factors, an adaptive fault-tolerant controller is designed to ensure the stability of the entire system after partial failure of the actuator. (3) By estimating the norm of the ideal weight vector of the radial basis function neural networks (RBFNNs), the computational burden of the controller is reduced. Finally, the simulation results show the effectiveness of the proposed control scheme.
url http://dx.doi.org/10.1155/2020/6106794
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AT zhiweili adaptivedynamicsurfaceintegralslidingmodefaulttolerantcontrolformultimachineexcitationsystemswithsvc
AT yilongzhang adaptivedynamicsurfaceintegralslidingmodefaulttolerantcontrolformultimachineexcitationsystemswithsvc
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