Novel Intelligent Sensorless Control of Permanent Magnet Synchronous Motor Drive
After analyzing the basic principle of sensorless control using extended Kalman filter (EKF) in permanent magnet synchronous motor (PMSM) drive,this paper proposes a novel intellignet sensorless control. Here,fuzzy control is used in EKF and artificial neural network (ANN) is used in speed control,since an artificial neural network based speed controller does not rely on the accurate mathematical model of system,and it has not only fast dynamic response but also high steady-state accuracy,while fuzzy EKF algorithm can adjust covariance matrices online and be efficientlyaccelerated convergence. A PMSM drive simulation model with novel intelligent sensorless control is created and studied using Matlab/Simulink. The simulation results demonstrate the feasibility and validity of novel intelligent sensorless control.
Sensorless control EKF Fuzzy control Neural network control PMSM.
Jiangtao Wang Haiqin Liu
Nanjing College of Chemical Technology Nanjing,210048,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
2030-2035
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）