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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2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/6106794 |
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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 |
work_keys_str_mv |
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1715054392004050944 |