Title :
A new on-line detection method of magnet flux linkage for permanent magnet synchronous motor
Author_Institution :
Electr. Eng. Sch., Shanghai Dianji Univ., Shanghai, China
Abstract :
According to the shortcoming that KF and EKF can only estimate the parameter of the PMSM in time domain, a new multi-scale default detection method is developed by combining KF and wavelet transform. By monitoring the voltages and currents of the stator, it is possible to estimate the permanent magnet flux linkage on-line, which has the advantage of KF and wavelet transform. The new filter not only possesses the multiscale analysis capability both in time domain and frequency domain, but also has better estimation accuracy than traditional KF. Computer simulation shows the effect of the new algorithm.
Keywords :
Kalman filters; frequency-domain analysis; magnetic flux; matrix algebra; nonlinear filters; parameter estimation; permanent magnet motors; synchronous motors; time-domain analysis; wavelet transforms; computer simulation; extended Kalman filter; frequency domain; magnet flux linkage; multiscale default detection method; online detection method; parameter estimation; permanent magnet synchronous motor; time domain; wavelet transform; Couplings; Magnetic domains; Magnetic flux; Monitoring; Parameter estimation; Permanent magnet motors; Stators; Voltage; Wavelet domain; Wavelet transforms; Kalman filter; Multi-scale analysis; Permanent magnet synchronous motor; Wavelet transform;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192867