APPLICATIONS OF UNSCENTED KALMAN
FILTER ON POSITION SENSORLESS CONTROL
OF PERMANENT MAGNET LINEAR
SYNCHEONOUS MOTOR

YU Peiqiong^1,2  WANG Yong¹  YANG Weimin²  LU Huacai²  CHEN Zichen²

(1. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310032;
2. Institute of Advanced Manufacturing Engineering, Zhejiang University, Hangzhou 310027)

Abstract: For a variety of nonlinear estimation problems, the unscented Kalman filter (UKF) is a superior alternative to the extended Kalman filter (EKF). The effectiveness of UKF for position sensorless control of permanent magnet linear synchronous motor (PMLSM) is investigated. At first, the PMLSM model used in the estimation algorithm is established, then, the position sensorless PMLSM drive system based on UKF is presented. Via simulations and experiments, the effectiveness of UKF for position sensorless control of PMLSM is verified. And, a comparison of estimation performance of UKF and EKF for estimating position and speed is carried out. The simulation and experiment results indicate that UKF performs equivalently with EKF, but the computational time of UKF is more than that of EKF. For estimating position and speed of PMLSM, the EKF is a better choice than UKF.

Key words: Unscented Kalman filter Extended  Kalman filter  Permanent magnet linear synchronous motor  Position sensorless control

CLC No: TP271.4 TM359.4

国家自然科学基金(50475101)和浙江省自然科学基金(Y104193)资助项目. Received 20061105, received in revised form 20070624