Active Disturbance Rejection Control of Toggle-Motor Coupling Servomechanism System

被引：1

作者：

Zuo, Zhe ^{[1
]}

Dai, Ya-ping ^{[1
]}

Li, Dong-hai ^{[2
]}

Xue, Ya-li ^{[2
]}

Wang, Chuan-feng ^{[2
]}

Song, Yue-jin ^{[3
]}

机构：

[1] Beijing Inst Technol, Dept Automat Control, Beijing 100081, Peoples R China

[2] Tsinghua Univ, Inst Simulat & Control Thermal Power Engn, Beijing, Peoples R China

[3] No 207 Res Inst China Ordnance Ind, North Ind Grp, Taiyuan, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

Active disturbance Rejection Control; Toggle-Motor coupling Servomechanism System; Genetic Algorithm; Monte-Carlo method; Mixed H2/H infinity;

D O I：

10.1109/WCICA.2008.4594497

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents Active Disturbance Rejection Control system for Toggle-Motor coupling Servomechanism System. Genetic algorithm and mixed H2/H infinity norm index are utilized to optimize the system parameters; Monte-Carlo method is applied to evaluate the robustness of the control system. Simulation results show that under the condition of external disturbance, parameters perturbation and coupling, this method has cutting off characteristic for high-frequency noises and achieve lower sensitivity against the disturbances in low frequency range; its settling time is less than 0.5s, there is no step response static error and it has strong performance robustness. Compared with Sliding Mode Control, this method avoids the chaffering phenomena; compared with Fuzzy Neural Network Control, structure is simpler.

引用

页码：3429 / +

页数：2

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