Modeling and Control of a Magnetic Bearing System

被引：0

作者：

Chu, Kevin C. ^{[1
]}

Wang, Yigang ^{[1
]}

Wilson, Jason ^{[1
]}

Lin, Chi-Ying ^{[1
]}

Tsao, Tsu-Chin ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Dept Mech & Aerosp Engn, Los Angeles, CA 90025 USA

来源：

2010 AMERICAN CONTROL CONFERENCE | 2010年

关键词：

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：

This paper presents the pedagogy of digital control design and experiment for a magnetic bearing system as part of a graduate level digital control class. The system identification verifies the system model structure, where the unstable MIMO system is kinematically de-coupled into SISO systems with model uncertainty bounds characterized for robustness analysis. Low order SISO plant models are used for control design while a high order MIMO model is used for verification before the implementation. Following a simple lead compensator, model based control design, analysis, verification, and implementation include state estimator feedback control and its augmentation with integrator and oscillator internal models; all stabilizing control and minimum variance control; approximate plant inversion for feedfoward tracking and repetitive control.

引用

页码：2206 / 2211

页数：6

共 17 条

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