基于EKF的感应电机无速度传感器逆解耦控制  

Speed-Sensorless Inverse Decoupling Control Based on EKF for Induction Motor Drives

作　　者：张兴华[1] 牛兴林[1] 林锦国[1] 

机构地区：[1]南京工业大学自动化学院,南京210009

出　　处：《系统仿真学报》2006年第4期982-985,988,共5页Journal of System Simulation

基　　金：江苏省高校自然科学研究计划资助项目(03KJB510041)

摘　　要：提出了一种感应电机无速度传感器逆解耦控制新方法。采用逆系统方法将感应电机的转速和转子磁链进行动态解耦,并由扩展的Kalman滤波器(EKF)对转速及转子磁链进行实时估计。在此基础上,采用线性综合方法分别对转速和转子磁链子系统设计闭环控制器,从而实现感应电机的无速度传感器逆解耦控制。仿真结果表明EKF可在整个调速范围内进行高精度的转速和磁链估计,控制系统具有优良的动态和稳态性能。A novel inverse decoupling control scheme for induction motor drive without a speed sensor was proposed. First, the inverse system method was used to realize the dynamic decoupling between rotor speed and flux. Then, the signals of rotor speed and flux were estimated with an extend Kalman filter （EKF） , Last, the speed and flux regulator were designed respectively according to the linear system theory. Consequently, the speed-sensorless inverse decoupling control of induction motor was implemented. Simulation results show that the EKF can give the accurate estimation of rotor speed and flux in all drive range, and the proposed control scheme processes the perfect dynamic and static performance.

关 键 词：感应电机 逆系统方法 EKF 无速度传感器 解耦控制 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]