Title :
Sensorless operation of PMSM based on hybrid rotor position self-sensing scheme
Author :
Xiang, Xiaodong ; He, Yikang
Author_Institution :
Zhejiang Univ. of Sci. & Technol., Zhejiang
Abstract :
A hybrid rotor position self-sensing scheme was investigated by combining the rotating high-frequency voltage signal injection method and Model Reference Adaptive System (MRAS) method in this paper. Based on the detailed discussion of the basic principles and the merits for the two methods, the configuration of the hybrid scheme and the transition principle from high-frequency signal injection method to MRAS were studied and the estimation algorithm of the rotor position/speed and weight coefficients in the transition region was deduced in detail. Moreover, the experimental verification for the smooth transition of the two position estimation schemes in an inset-type Permanent Magnet Synchronous Motor (PMSM) using the hybrid approach and the sensorless vector control operation were carried out with success as well. The experimental study indicates that the hybrid rotor position self-sensing approach merges the advantages of both methods and is capable of precisely estimating the rotor position and speed at the low speed and possessing fast dynamic response at the high-speed. Therefore, the proposed scheme is suitable for sensorless vector control of a PMSM in a wide speed region, including zero-speed.
Keywords :
machine vector control; model reference adaptive control systems; permanent magnet motors; rotors; synchronous motors; high-frequency voltage signal injection method; hybrid rotor position self-sensing scheme; model reference adaptive system; permanent magnet synchronous motor; position estimation schemes; rotor speed; sensor less operation; sensorless vector control operation; transition principle; weight coefficients; AC motors; Adaptive systems; Band pass filters; Machine vector control; Pulse width modulation inverters; Rotors; Signal processing algorithms; Space technology; Synchronous motors; Voltage;
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2