Adaptive Equivalent-input-disturbance Approach to Improving Disturbance-rejection Performance

被引：0
|
作者：
Ze-Wen Wang [1 ,2 ]
Jin-Hua She [1 ,2 ,3 ]
Guang-Jun Wang [1 ,2 ]
机构：
[1] School of Automation, China University of Geosciences
[2] Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
[3] School of Engineering, Tokyo University of Technology
来源：
International Journal of Automation and Computing | 2020年 / 05期
基金：
国家重点研发计划; 中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP273 [自动控制、自动控制系统];
学科分类号：
080201 ; 0835 ;
摘要：
This paper presents an adaptive equivalent-input-disturbance(AEID) approach that contains a new adjustable gain to improve disturbance-rejection performance. A linear matrix inequality is derived to design the parameters of a control system. An adaptive law for the adjustable gain is presented based on the combination of the root locus method and Lyapunov stability theory to guarantee the stability of the AEID-based system. The adjustable gain is limited in an allowable range and the information for adjusting is obtained from the state of the system. Simulation results show that the method is effective and robust. A comparison with the conventional EID approach demonstrates the validity and superiority of the method.
引用
收藏
页码：701 / 712
页数：12
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