Title :
Modeling and simulation of parameter identification for PMSM based on EKF
Author :
Jiang, Xiaoliang ; Sun, Pindong ; Zhu, Z.Q.
Author_Institution :
Sch. of Electr. & Autom. Eng., Nanjing Normal Univ., Nanjing, China
Abstract :
In this paper, on the basis of vector control, Extended Kalman Filter (EKF) was employed to estimate stator winding resistance, rotor flux-linkage due to permanent magnet and temperature rise in stator winding and rotor magnet of AC PMSM. Identification model of different parameter was established in rotating reference frame and MATLAB/SIMULINK was used to do simulation experiments. The theoretical analysis and identification models were confirmed to be correct and effective by the simulation results.
Keywords :
Kalman filters; machine control; mathematics computing; parameter estimation; permanent magnet motors; permanent magnets; rotors; stators; synchronous motors; AC PMSM; EKF based PMSM; Matlab; Simulink; parameter identification; permanent magnet; rotating reference frame; rotor flux linkage; rotor magnet; stator winding resistance; temperature rise; vector control; Clocks; Couplings; Damping; Load modeling; Mathematical model; Observers; Stators; PMSM; extended Kalman filter; modeling; parameter identification;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610314
