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 an intelligent sensorless control. Here, fuzzy control is used in EKF and neuron control is used in speed loop, since neuron 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 efficiently-accelerated convergence. A PMSM drive simulation model with novel intelligent sensoriess 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 Neuron control PMSM
Yuan Xiao-ling Wang Hong-hua
Institute of Electric Engineering Hohai University Nanjing, China
国际会议
长沙
英文
1406-1409
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）