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Fuzzy-immune PID Control for AMB Systems
作者姓名:SU  Yixin  LI  Xuan  ZHOU  Zude  CHEN  Youping  ZHANG  Danhong
作者单位:[1]School of Mechanical Science and Engineering,Huazhong University of Science and Technology, Wuhan 430074, Hubei, China [2]School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China
基金项目:中国科学院资助项目;湖北省自然科学基金;湖北省武汉市青年科技"晨光计划"项目
摘    要:In order to improve the dynamic performance of active magnetic hearing systems with highly nonlinear and naturally unstable dynamics, a new nonlinear fuzzy-immune proportional integral-derivative (PID) controller is proposed by combining the immune feedback law with linear PID con trol. This controller consists of a PID controller and a basic immune proportional controller in cascaded connection, the nonlinear function of the immune proportional controller is realized by using fuzzy reasoning. Simulation results demon strate that the active magnetic bearing system with the proposed controller has better dynamic performance and disturbance rejection ability than using the linear PID controller.

关 键 词:磁轴承  模糊推理  人工免疫  PID控制  AMB系统
文章编号:1007-1202(2006)03-0637-05
收稿时间:2005-09-08

Fuzzy-immune PID control for AMB systems
SU Yixin LI Xuan ZHOU Zude CHEN Youping ZHANG Danhong.Fuzzy-immune PID Control for AMB Systems[J].Wuhan University Journal of Natural Sciences,2006,11(3):637-641.
Authors:Su Yixin  Li Xuan  Zhou Zude  Chen Youping  Zhang Danhong
Institution:(1) School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074 Wuhan, Hubei, China;(2) School of Automation, Wuhan University of Technology, 430070 Wuhan, Hubei, China
Abstract:In order to improve the dynamic performance of active magnetic bearing systems with highly nonlinear and naturally unstable dynamics, a new nonlinear fuzzy-immune proportional-integral-derivative (PID) controller is proposed by combining the immune feedback law with linear PID control. This controller consists of a PID controller and a basic immune proportional controller in cascaded connection, the nonlinear function of the immune proportional controller is realized by using fuzzy reasoning. Simulation results demonstrate that the active magnetic bearing system with the proposed controller has better dynamic performance and disturbance rejection ability than using the linear PID controller.
Keywords:active magnetic bearings  fuzzy reasoning  artificial immune  fuzzy-immune PID
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