Application of Full-Order and Simplified EKFs to Sensorless PM Brushless AC Machines  

作　　者：David Howe 

机构地区：[1]Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK

出　　处：《International Journal of Automation and computing》2005年第2期179-186,共8页国际自动化与计算杂志（英文版）

摘　　要：This paper employs an extended Kalman filter (EKF) to estimate the rotor position and speed of a vector controlled surface-mounted permanent magnet (PM) brushless AC (BLAC) motor from measured terminal voltages and currents only. Both full-order and simplified EKFs are employed and their simulated performance capabilities are compared. Excellent agreement is achieved between estimated and commanded results. The EKF is also employed to identify the stator flux-linkage due to the PMs, which is influenced by temperature variation and magnetic saturation.This paper employs an extended Kalman filter (EKF) to estimate the rotor position and speed of a vector controlled surface-mounted permanent magnet (PM) brushless AC (BLAC) motor from measured terminal voltages and currents only. Both full-order and simplified EKFs are employed and their simulated performance capabilities are compared. Excellent agreement is achieved between estimated and commanded results. The EKF is also employed to identify the stator flux-linkage due to the PMs, which is influenced by temperature variation and magnetic saturation.

关 键 词：Brushless AC drives extended Kalman filter parameter identification permanent magnet SENSORLESS 

分 类 号：TM34[电气工程—电机]