JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Improved Mutual MRAS Speed Identification Based on Back-EMF
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Improved Mutual MRAS Speed Identification Based on Back-EMF
Zheng, Hong; Zhao, Jiancheng; Liu, Liangzhong;
  PDF(new window)
 Abstract
In the design of sensorless control system for induction motor, high-precision speed estimation is one of the most difficult problems. To solve this problem, the common method is model reference adaptive method (MRAS). MRAS requires accurate motor parameters to estimate rotor speed precisely. However, when motor is running, the variety of temperature and magnetic saturation will lead to the change of motor parameters such as stator resistance and rotor resistance, which will lower the accuracy of the speed estimation. To improve the accuracy and rapidity of speed estimation, this paper analyses the mutual MRAS speed identification based on rotor flux linkage, and proposes an improved mutual MRAS speed identification based on back-EMF. The improved method is verified by Simulink simulation and motor experimental platform based on DSP2812. The results of simulation and experiment indicate that the method proposed by this paper can significantly improve the accuracy of speed identification, and speed up the response of identification.
 Keywords
Sensorless control;MRAS;Mutual identification;Speed estimation;Motor experimental platform;
 Language
English
 Cited by
 References
1.
Hui Ding, Xiehe Hu. The view of control strategy for induction motor drive system [J]. Journal of Zhejiang University(Engineering Science), 2011,01: pp. 50-58.

2.
Yiheng Chen, Ailing Zhang, Yihai Zhang. A method of speed identification based on improved BEMF-MRAS [J]. Industry and Mine Automation, 2013, 09: pp. 75-79.

3.
Jian Gao, Shoudao Huang, Xiaofeng Ma, Guoyang Cai, Yanfei Cao. Sensorless vector control system for bearingless induction motor based on mutual MRAS[J]. Transactions of China Electrotechnical Society, 2008, 11: pp. 41-46.

4.
Mingyu Wang, Yangyu Chen, Wei Deng, Ruimiao Wang. The method of speed identification for induction motor with stator and rotor resistance online identification[J]. Electric Machines and Control, 2010, 04: pp. 66-71.

5.
Beguenane R, El Hachemi Benbouzid M, Tadjine M, et al. Speed and rotor time constant estimation via MRAS strategy for induction motor drives[C]. IEEE International Electric Machines and Drives Conference Record, 1997: B3/5.1-TB3/5.3.

6.
Wang Z, Zhang C. Speed identification about enhanced magnetism motor with MRAS[C]. Intelligent Control and Automation, 2008. WCICA 2008. 2008: pp. 7349-7354.

7.
Cirrincione M, Accetta A, Pucci M, et al. MRAS speed observer for high-performance linear induction motor drives based on linear neural networks[J]. IEEE Transactions on Power Electronics, 2013, 28(1): pp. 123-134. crossref(new window)

8.
R. Ajabi Farshbaf, M.R. Azizian, A. Ebrahimi. NN-MRAS based speed estimator VS. RF-MRAS one: design and comparison, Power Electronics and Drive Systems Technology (PEDSTC), 2012 3rd, pp. 223-228.

9.
Ms. M. Nandhini Gayathri, S.Himavathi, R.Sankaran. Comparison of Rotor Flux and Reactive Power based MRAS Rotor Resistance Estimators for Vector Controlled Induction Motor Drive, International Journal of Engineering, vol. 25, No. 3, pp. 205-212. crossref(new window)