无轴承异步电机稳定性能优化控制研究  

Study on Optimal Control of the Stability of Bearingless Induction Motor

作　　者：何方舟 卜文绍[1] 李自愿 程相辉[1] 

机构地区：[1]河南科技大学信息工程学院,河南洛阳471003

出　　处：《计算机仿真》2017年第5期285-290,共6页Computer Simulation

基　　金：国家自然科学基金项目(51277053)

摘　　要：针对电机参数发生变化和负载扰动导致无轴承异步电机的稳定性能下降的问题。为提高系统的稳定性,在建立了无轴承异步电机状态方程的基础上,分别采用逆系统方法和神经网络逆系统方法把转矩系统和悬浮系统解耦成转子磁链、转速和转子径向位移四个独立的伪线性子系统。对转矩伪线性子系统设计了滑模变结构控制器代替PI控制器,引入指数趋近律来消减滑模控制器的抖振问题,并采用Lyapunov方法进行了稳定性分析。仿真结果表明,上述方案具有优良的动态解耦性能,解耦后的转矩伪线性系统采用滑模变结构控制具有响应速度快和稳定性强等特点。Due to the change of motor parameters and load disturbance, the stable performance of the bearingless induction motor will decrease. Based on the state equation of the bearingless induction motor, by using the inverse system method and the neural network inverse system method, the torque system and the suspension system are de- coupled into rotor flux, rotor speed and rotor radial displacement four independent pseudo linear subsystems. Sliding mode variable structure controllers are designed to replace the PI controller in the pseudo linear system of torque, and the Lyapunov method is used to analyze its stability. The simulation results show that the decoupling scheme has ex- cellent dynamic deeoupling performance, the decoupled torque pseudo linear system adopts sliding mode variable structure control with fast response and strong ability.

关 键 词：无轴承异步电机 电机参数变化 负载扰动 滑模变结构控制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]