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磁悬浮开关磁阻电动机径向力的动态解耦控制
引用本文:刘国海,孙玉坤,张浩,赵文祥,沈跃.磁悬浮开关磁阻电动机径向力的动态解耦控制[J].东南大学学报(自然科学版),2004(Z1).
作者姓名:刘国海  孙玉坤  张浩  赵文祥  沈跃
作者单位:江苏大学电气信息工程学院 镇江212013 (刘国海,孙玉坤,张浩,赵文祥),江苏大学电气信息工程学院 镇江212013(沈跃)
基金项目:国家自然科学基金资助项目 (60 1740 5 2 ),江苏省自然科学基金资助项目 (BK2 0 0 3 0 49) .
摘    要:基于基本电磁场理论 ,给出了磁悬浮开关磁阻电动机径向力与位置的模型 .针对模型具有非线性和强耦合的特点 ,对该模型进行可逆性分析 ,从而证明该系统可逆 .应用神经网络逆系统方法 ,设计其非线性控制器 ,将原来非线性强耦合的多变量系统解耦 ,转变成 2个位置彼此无耦合的线性子系统 ,应用线性系统理论容易对这 2个子系统进行控制 .仿真表明 ,系统具有良好的静动态性能 .

关 键 词:磁悬浮电机  开关磁阻电动机  神经网络  逆系统  解耦控制

Decoupling control of bearingless switched reluctance motors based on neural network inverse system
Liu Guohai,Sun Yukun,Zhang Hao,Zhao Wenxiang,Shen Yue.Decoupling control of bearingless switched reluctance motors based on neural network inverse system[J].Journal of Southeast University(Natural Science Edition),2004(Z1).
Authors:Liu Guohai  Sun Yukun  Zhang Hao  Zhao Wenxiang  Shen Yue
Abstract:Based on basic electromagnetism theory, a radial force model of a bear ingless switched reluctance motor is given. Reversibility of the model is proved and a neural network inverse approach is developed for the nonlinear, str ongly coupled model. A nonlinear controller based on neural network inverse syst em is designed so that the nonlinear, strongly coupled system is decoupled into two linear subsystems. Furthermore, linear control system techniques are applied to these decoupled linear subsystems to synthesize desired response. To verify the effectiveness of the control scheme, some simulations were carried out and t he results are satisfactory.
Keywords:bearingless motor  switched reluctance motors  neural network  inverse system  d ecoupling control
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