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无轴承异步电机的非线性动态解耦控制
引用本文:王正齐,刘贤兴,孙宇新.无轴承异步电机的非线性动态解耦控制[J].中国机械工程,2012,23(8):987-991.
作者姓名:王正齐  刘贤兴  孙宇新
作者单位:江苏大学,镇江,212013
基金项目:国家自然科学基金资助项目,高等学校博士学科点专项科研基金资助项目,江苏省普通高校研究生科研创新计划资助项目
摘    要:针对无轴承异步电机多变量、非线性、强耦合的特点,提出一种基于支持向量机α阶逆系统理论的非线性动态解耦控制策略。将通过支持向量机回归方法辨识出的无轴承异步电机逆系统串接在原系统之前,构成伪线性复合系统,实现整个系统的线性化。最后根据线性系统理论进行了系统综合。仿真和实验研究表明,支持向量机α阶逆系统方法能够实现无轴承异步电机悬浮力和旋转力之间的动态解耦,控制系统具有良好的动静态性能。

关 键 词:无轴承异步电机  支持向量机  α阶逆系统  解耦

Nonlinear Dynamic Decoupling Control for Bearingless Induction Motor
Wang Zhengqi Liu Xianxing Sun Yuxin.Nonlinear Dynamic Decoupling Control for Bearingless Induction Motor[J].China Mechanical Engineering,2012,23(8):987-991.
Authors:Wang Zhengqi Liu Xianxing Sun Yuxin
Affiliation:Wang Zhengqi Liu Xianxing Sun Yuxin Jiangsu University,Zhenjiang,Jiangsu,212013
Abstract:Because a bearingless induction motor is of multi-variable,nonlinear and high coupling,a nonlinear dynamic decoupling control approach based on SVM α-th order inverse system method was proposed.The inverse system of the bearingless induction motor was identified by the SVM regression method.By cascading the inverse system with the bearingless induction motor,the nonlinear system was transformed into a pseudo-linear system.Finally,linear control system techniques were applied to these linear subsystems to complete synthesis,simulation and experiment.The study shows that this kind of control strategy can realize dynamic decoupling control among torque and suspension forces of the bearingless induction motor,and that the control system has good dynamic and static performance.
Keywords:bearingless induction motor  support vector machine(SVM)  α-th order inverse system  decoupling
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