Genetic Algorithms Based Optimization Design of a PID Controller for an Active Magnetic Bearing

被引：0
|
作者：
Chen, Hung-Cheng [1 ]
Chang, Sheng-Hsiung [2 ]
机构：
[1] Natl Chin Yi Univ Technol, Dept Elect Engn, Taichung, Taiwan
[2] Natl Chin Yi Univ Technol, Inst Informat & Elect Energy, Taichung, Taiwan
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2006年 / 6卷 / 12期
关键词：
Active Magnetic Bearing; PID Controller; Genetic Algorithms; Optimization Design;
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：
The active magnetic bearing (AMB) using permanent magnet and electromagnet offers the advantage of higher lift-to-weight ratio and nearly zero ohmic loss of its control winding. Because of its inherent instability, AMB applications often require to overcome formidable control problems. This paper deals with the optimal design of a PID controller for an AMB using genetic algorithms (GA). The dynamic model for axial motion is also presented, together with experimental and simulation results to verify its availability and good dynamic response.
引用
收藏
页码：95 / 99
页数：5
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