[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5370/JEET.2016.11.3.769

Improved Mutual MRAS Speed Identification Based on Back-EMF

Zheng, Hong (Dept. of Automation, University of Electronic Sci&Tech of China)
Zhao, Jiancheng (Dept. of Automation, University of Electronic Sci&Tech of China)
Liu, Liangzhong (Dept. of Automation, University of Electronic Sci&Tech of China)

Publication Information

Journal of Electrical Engineering and Technology / v.11, no.3, 2016 , pp. 769-774 More about this Journal

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;

Citations & Related Records

Reference

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