Adaptive Parameter Identification and Control for Servo System with Input Saturation

被引：0
|
作者：
Tao, Liang [1 ]
Chen, Qiang [1 ]
Luo, Yikun [1 ]
Nan, Yurong [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China
来源：
2017 9TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
On-line identification; Improved exponential reaching law; Input saturation; Servo system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an adaptive on-line parameter identification law is investigated by the extracted parameter error information for the position servo system, and the improved exponential reaching law is employed to design the controller to enhance the tracking performance. The chattering problem is weakened by using the proposed method. Moreover, several adaptive parameters are adopted to suppress the effect of saturation when the limited input affects the system tracking performance. Finally, simulations are conducted to verify the effectiveness of the proposed method.
引用
收藏
页码：652 / 657
页数：6
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