Extended Kalman filters combined with feed-forward compensation for permanent magnet synchronous moter position estimation
SHE Zhi-ting
ZOU wei
DONG Wang-hua
QIN Ya-sheng
Abstract：Accurate estimation of speed and rotor position plays an important role in the permanent magnet synchronous motor (PMSM) speed and current double closed-loop vector control system. This paper mainly discusses the extended Kalman filter (EKF) algorithm, which is used to estimate rotor speed and position problem. Unlike the traditional EKF method, the Generic algorithm (GA) is adopted to optimize the selection process of EKF covariances and the P , Q, R matrix selection progress is given. In addition, the load torque obtained by the load torque observer is used as the input, together with the speed regulator output, of the current regulator control variables. Simulation and experiment results show that, the proposed new strategy can shorten the system covariance parameters selection time, increase the tracking speed precision and embrace better anti disturbance ability.
Keywords：synchronous motorsextended Kalman filtersgeneric algorithmsload torque observer
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 1312-1318 )