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An MRAS method for sensorless control of induction motor over a wide speed range

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Abstract

This paper addresses the problem of wide speed range sensorless control of induction motor. The proposed method is based on model reference adaptive system (MRAS), in which the current model serves as the adjustable model, and a novel hybrid model integrating the modified voltage model (MVM) and high-frequency signal injection method (HFSIM) are established to serve as the reference model. The HFSIM works together with MVM to improve the performance of the rotor speed and rotor flux position estimation at low speed, whereas at high speed, the MVM acts alone. In addition, a rotor resistance online estimation scheme is proposed to update the rotor resistance contained in the adjustable model and to ensure the estimation accuracy further. Experimental results show that the proposed MRAS method is very effective from low to high speed range, including zero speed.

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Dalian University of Technology, Dalian Liaoning, 116023, China

    Zhanguo Xu & Cheng Shao

  2. School of Mechanical and Engineering, Dalian University of Technology, Dalian Liaoning, 116023, China

    Dongju Feng

Authors
  1. Zhanguo Xu
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  2. Cheng Shao
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  3. Dongju Feng
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Corresponding author

Correspondence to Zhanguo Xu.

Additional information

This work was supported by the National Basic Research Program of China (973 Program) (No. 2007CB714006).

Zhanguo XU was born in Jilin Province, China, in 1974. He received his B.E. and M.S. degrees in Control Theory and Control Engineering, at the Department of Automation, Xi’an Polytechnic University. He is currently pursuing his Ph.D. degree at the School of Electronics and Information Engineering, Dalian University of Technology. His research interests include power electronic and intelligent motion control.

Cheng SHAO was born in Liaoning Province, China, in 1958. He received his B.E. degree in Applied Mathematics, and both his M.S. and Ph.D. degrees in Control Theory and Control Engineering. He is currently a professor at the School of Electronics and Information Engineering, Dalian University of Technology. His research interests include robust adaptive control, intelligent learning control, and optimizing control for chemical processes.

Dongju FENG was born in Shandong Province, China, in 1972. She received her Ph.D. degree in Mechanical Manufacture and Automation at the Dalian University of Technology. She is currently a lecturer at the School of Mechanical and Engineering, Dalian University of Technology.

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Xu, Z., Shao, C. & Feng, D. An MRAS method for sensorless control of induction motor over a wide speed range. J. Control Theory Appl. 9, 203–209 (2011). https://doi.org/10.1007/s11768-011-8202-y

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  • DOI: https://doi.org/10.1007/s11768-011-8202-y

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