电工技术学报2017，Vol.32Issue(21)：77-86,10.DOI:10.19595/j.cnki.1000-6753.tces.170096
基于多项式磁饱和模型及EKF的感应电机磁链观测
Flux Observer of Induction Motor Based on Polynomial Magnetic Saturation Model and EKF Algorithm
刘璐 1王晓年 1杜旭东1
作者信息
- 1. 同济大学电子与信息工程学院 上海 201804
- 折叠
摘要
Abstract
Rotor flux is an important parameter in vector control of induction motor.The flux is usually estimated from measured three-phase current,which is often being influenced by noise.The accuracy of observer is related with motor parameters.If the flux level varies with motor working points,the nonlinear magnetic saturation effect will cause variation of mutual inductance.Then,the amplitude and position of rotor flux will deviate from real value,deteriorating the control performance.In this paper,observer algorithm for state estimation and parameter identification,based on extended Kalman Filter (EKF) and forth-order polynomial magnetic saturation model,is proposed.The stator current works as feedback,to correct the predicted value from induction motor model.The simulation and experimental results show the effectiveness of the proposed algorithm in reducing the influence of magnetic nonlinear effect on control system.关键词
多项式磁饱和模型/扩展卡尔曼滤波/磁链观测/参数辨识Key words
Polynomial magnetic saturation model/extended Kalman filter/flux observer/parameter identification分类
信息技术与安全科学引用本文复制引用
刘璐,王晓年,杜旭东..基于多项式磁饱和模型及EKF的感应电机磁链观测[J].电工技术学报,2017,32(21):77-86,10.
