Simplified Model Reference Adaptive Method for Sensorless Vector Control of PMSM

Article Preview

Abstract:

Sensorless control of PMSM is becoming increasingly important among the whole control system. This paper introduced Integral Separation Technology to the PI regulators to decrease overshoot or oscillation of the system. In addition, on the basis of the mathematical model of PMSM, Vector Control System for PMSM is got. Then a simplified model reference adaptive method using the zero excitation current control to modify the adaptive rate is given. At last, the corresponding waveforms are presented and the reasonability and validity has been proved by the simulation.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

2240-2243

Citation:

Online since:

December 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ting-ting Liu, Yu Tan, and Shu-mao Wang: Simulation of PMSM vector control system based on Matlab/Simulink (International Conference on IEEE , Hunan, 2009).

DOI: 10.1109/icmtma.2009.117

Google Scholar

[2] Naidu M, Bose B K.: Rotor position estimation scheme of a permanent magnet synchronousmachine for high performance variable speed drive (International Conference on Industry Applications Society Annual Meeting, Houston, 1992).

DOI: 10.1109/ias.1992.244466

Google Scholar

[3] Schrodl M, Hofer M, Staffler W.: Extended EMF-and parameter observer for sensorlesscontrolled PMSM-machines at low speed (European Conference on Power Electronics and Applications, Aalborg, 2007).

DOI: 10.1109/epe.2007.4417536

Google Scholar

[4] Mishra A, Mahajan V, Agarwal P: MRAS based estimation of speed in sensorless PMSM drive (Power India Conference, Murthal, 2012).

DOI: 10.1109/poweri.2012.6479492

Google Scholar

[5] Huazhong Xu, Jun Xie: A vector-control system based on the improved MRAS for PMSM(International Workshop on Intelligent Systems and Applications, Wuhan, 2009).

DOI: 10.1109/iwisa.2009.5072683

Google Scholar

[6] Qinglong Wang, Songwei Zhang: Transactions of China Electrotechnical Society (in Chinese), Vol. 28 (2008), p.71.

Google Scholar