FIELD-ORIENTED CONTROL OF SYNCHRONOUS MOTOR BASED ON ADAPTIVE EXTENDED KALMAN FILTER

摘要：

This paper proposes a control method of synchronous motor without speed sensor based on adaptive extended Kalman filter (EKF). The adaptive EKF observes the stator voltages and currents to estimate the rotor speed and the air-gap flux angle. This adaptive method is applied to adjust the noise mean and covariance to track the dynamic noise, so as to improve the estimation precision. The simulation results show that the adaptive EKF can estimate the speed and the position of air-gap flux accurately and with good static and dynamic performance.

关键词： synchronous motor adaptive EKF speed sensorless

作者: Luqun Peng Lun Xie Fei Wu Chongjian Li

作者单位: School of Computer and Communication ,University of Science and Technology Beijing , China College of Automation Science and Engineering,South China University of Technology, Guangzhou, China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems(2011年第一届IEEE云计算与智能系统国际会议 IEEE CCIS2011)

会议地点: 北京

会议语种:英文

页码: 633-637

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）