Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance

Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance

In this paper, an adaptive optimizing control is proposed for nonlinear synchronous generator system with uncertain disturbance. Considering the issue of uncertain item, a low-order Extended State Observer (ESO) is constructed to track each order states. Then, combining Backstepping technology and p...

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Main Authors: Guiyang Deng, Lianglun Cheng, Baojian Yang
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/7604320
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spelling doaj-168e3d7485c94a2f992d0d3b5eeac5012020-11-25T01:07:37ZengHindawi-WileyComplexity1076-27871099-05262019-01-01201910.1155/2019/76043207604320Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain DisturbanceGuiyang Deng0Lianglun Cheng1Baojian Yang2School of Automation, Guangdong University of Technology, Guangzhou, Guangdong 510006, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, Guangdong 510006, ChinaFaculty of Intelligent Manufacturing, Wuyi University, Jiangmen, Guangdong 529020, ChinaIn this paper, an adaptive optimizing control is proposed for nonlinear synchronous generator system with uncertain disturbance. Considering the issue of uncertain item, a low-order Extended State Observer (ESO) is constructed to track each order states. Then, combining Backstepping technology and proposed ESO, a dynamic compensation control is designed to compensate the uncertainty disturbance in each state quantity. The proposed method demonstrated that stability of the system can be ensured, and tracking burden of ESO can be reduced. Finally, simulation results can show a good tracking performance and anti-interference ability by the proposed control method.http://dx.doi.org/10.1155/2019/7604320
collection DOAJ
language English
format Article
sources DOAJ
author Guiyang Deng
Lianglun Cheng
Baojian Yang
spellingShingle Guiyang Deng
Lianglun Cheng
Baojian Yang
Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance
Complexity
author_facet Guiyang Deng
Lianglun Cheng
Baojian Yang
author_sort Guiyang Deng
title Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance
title_short Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance
title_full Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance
title_fullStr Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance
title_full_unstemmed Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance
title_sort adaptive optimizing control for nonlinear synchronous generator system with uncertain disturbance
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2019-01-01
description In this paper, an adaptive optimizing control is proposed for nonlinear synchronous generator system with uncertain disturbance. Considering the issue of uncertain item, a low-order Extended State Observer (ESO) is constructed to track each order states. Then, combining Backstepping technology and proposed ESO, a dynamic compensation control is designed to compensate the uncertainty disturbance in each state quantity. The proposed method demonstrated that stability of the system can be ensured, and tracking burden of ESO can be reduced. Finally, simulation results can show a good tracking performance and anti-interference ability by the proposed control method.
url http://dx.doi.org/10.1155/2019/7604320
work_keys_str_mv AT guiyangdeng adaptiveoptimizingcontrolfornonlinearsynchronousgeneratorsystemwithuncertaindisturbance
AT liangluncheng adaptiveoptimizingcontrolfornonlinearsynchronousgeneratorsystemwithuncertaindisturbance
AT baojianyang adaptiveoptimizingcontrolfornonlinearsynchronousgeneratorsystemwithuncertaindisturbance
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