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  • 标题:Genetic Algorithms Based Optimization Design of a PID Controller for an Active Magnetic Bearing
  • 本地全文:下载
  • 作者:Hung-Cheng Chen ; Sheng-Hsiung Chang
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2006
  • 卷号:6
  • 期号:12
  • 页码:95-99
  • 出版社:International Journal of Computer Science and Network Security
  • 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.
  • 关键词:Active Magnetic Bearing, PID Controller, Genetic Algorithms, Optimization Design
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