无轴承异步电机径向位置的动态解耦控制  

Dynamic Decoupling Control for Radial Position of Bearingless Induction Motor

作　　者：孙晓东[1] 朱熀秋[1] 张涛[1] 吴熙[2] 

机构地区：[1]江苏大学电气信息工程学院,江苏镇江212013 [2]东南大学电气工程学院,江苏南京210098

出　　处：《控制工程》2010年第2期224-227,共4页Control Engineering of China

基　　金：国家自然科学基金资助项目(60674095)

摘　　要：针对无轴承异步电机转子径向两自由度悬浮系统的相互耦合情况,采用神经网络逆系统方法进行了动态解耦控制研究。在介绍无轴承异步电机工作原理的基础上,建立了无轴承异步电机径向悬浮力的数学模型,对该模型进行可逆性分析,证明该系统可逆,应用神经网络逆系统方法将原来多变量、强耦合的非线性系统,动态解耦成2个位置彼此无耦合的线性子系统,并对解耦后的线性子系统进行了闭环设计。最后利用Matlab/Simulink工具箱对该控制系统作了仿真研究。仿真试验结果显示,神经网络逆系统方法可保证无轴承异步电机在径向两自由度上实现独立控制,且闭环系统具有良好的动、静态性能。According to the strong-coupled relationship between the two orthogonal radial positions,a decoupling control method based on the neural network inverse（NNI）system is presented for the radial suspending model of bearingless induction motor.The operation principle of bearingless induction motor is introduced,and then the mathematical equation of the radial force model is transformed.The reversibility of the models is proved.Using neural network inverse system method,the multi variable,strongly coupled,nonlinear system is dynamic decoupled into two linear displacement subsystems.The decoupled linear subsystems are synthesized.The control system is simulated with Matlab/Simulink toolbox.The simulation results show that the independent control on two degrees of freedom of radial position for the bearingless induction motor can be realized through NNI method and the dynamic and static performance of the closed loop system designed is satisfactory.

关 键 词：无轴承异步电机 径向位置 神经网络逆 解耦控制 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]