Title :
A novel inertia identification algorithm for PMSM
Author :
Niu Li ; Yang Ming ; Gui Xianguo ; Xu Dianguo
Author_Institution :
Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
Abstract :
A novel online inertia identification approach is presented in this paper. The proposed approach adopts fixed order recursive empirical frequency-domain optimal parameter estimation to identify online the inertia of PMSM. A simple load torque observer based on the mathematical formula of PMSM is also applied to eliminate the load torque disturbance. The results in simulation and experiment show that, the proposed approach is of excellent robustness and precision compared with the traditional recursive least square algorithm for the inertia identification.
Keywords :
frequency-domain analysis; parameter estimation; permanent magnet motors; synchronous motors; torque; PMSM; fixed order recursive empirical frequency-domain optimal parameter estimation; least square algorithm; load torque disturbance elimination; load torque observer; online inertia identification algorithm; permanent magnet synchronous motor; Current control; Load modeling; Observers; Permanent magnet motors; Robustness; Servomotors; Torque;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
DOI :
10.1109/ICEMS.2014.7014074