Title :
A Modified Speed and Position Estimation Technique for PMSM Based on Estimation Rotating Reference Frame Model
Author :
He Dongwei ; Peng Xiafu ; Zhou Jiehua ; Zhong Xunyu ; Jiang Xuecheng
Author_Institution :
Dept. of Autom., Xiamen Univ., Xiamen, China
Abstract :
In order to improve the speed and position estimation technique in [13], this paper presents a modified method. From [13] we found that the speed and position estimation technique, which was base on estimated reference frame, could give exceptional estimation results without several problems. Since the Extended Kalman Filter (EKF) method in [13] could not track the speed variation properly, a modification was proposed to improve the EKF method´s performance, besides a simplified EKF algorithm was adopted to make the calculation more efficient. The results of the simulation demonstrate the feasibility and effectiveness of the proposed method using Matlab/Simulink facility.
Keywords :
Kalman filters; mathematics computing; nonlinear filters; permanent magnet motors; synchronous motors; EKF algorithm; Matlab-Simulink facility; PMSM; extended Kalman filter method; position estimation technique; rotating reference frame model; speed estimation technique; Acceleration; Kalman filters; Mathematical model; Noise; Observers; Rotors;
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
DOI :
10.1109/SCET.2012.6341921