Speed Sensorless Control Method Using Improving MRAS Technique for Three-phase Induction Motor Drive

Authors

Corressponding author's email:

dinhhoangbach@tdtu.edu.vn

DOI:

https://doi.org/10.54644/jte.2024.1560

Keywords:

Field-oriented control, Induction motor, Current model, Stator resistance, MRAS

Abstract

In this paper, a Speed Sensorless control method based on an improved reference model response system (RF_MRAS) is applied to estimate the rotor speed and parameters. control in the flux-oriented control (FOC) technique of three-phase induction motors (IM). This estimation speed is improved by enhancing the stator resistance (Rs) estimation step in the RF_MRAS model to improve the performance of the control method when Rs changes during operation. The proposed control method helps the system operate at precise speed, low overshoot, can quickly switch speed status at will, low starting current and relatively small starting torque. Together with the combination of estimating the stator resistance, the system can operate stably even when the parameters in the motor change. Experimental results on the operating model in MATLAB/SIMULINK environment have demonstrated the effectiveness of the proposed method in different operating conditions of three-phase induction motors with very good estimated speed tracking. relative to the applied speed, even when the applied speed changes rapidly.

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Author Biographies

Dao Trong Tran, Ton Duc Thang University, Vietnam

Tran Trong Dao obtained Ph.D. degree in Technical Cybernetics in 2009 at Tomas Bata University in Zlín. Now he is a researcher, University lecturer at the Faculty of Information Technology of Ton Duc Thang University. He has co-authored research papers and articles in international journals, conference proceedings, co nference paper presentation, book chapters. He is also a member of MERLIN, and NAVY Research Groups. He is interested in and working at the field of: applied informatics and control; modeling and simulation systems; optimization systems; artificial intelligence and application, evolutionary algorithms. He can be contacted at email: trantrongdao@tdtu.edu.vn.

ORCID:  https://orcid.org/0000-0001-6510-0027

Hoang Bach Dinh, Ton Duc Thang University, Vietnam

Dinh Hoang Bach received a Ph.D. degree in Electrical Engineering from Heriot-Watt University, Edinburgh, the United Kingdom, in 2009. He received the B.E. and the M.E. degrees in Electrical Engineering from Vietnam National University - Ho Chi Minh City in 1995 and 1998, respectively. Bach Dinh is currently the head of the Electrical Engineering Department, Faculty of Electrical-Electronic Engineering at Ton Duc Thang University. His research interests are intelligent and optimal control, computer vision, robotics, power electronics, SCADA, and industrial communication networks. He is a member of the IEEE Industrial Electronics Society. He can be contacted at email: dinhhoangbach@tdtu.edu.vn. ORCID:  https://orcid.org/0000-0002-8618-1812

Dinh Cuong Tran, Ton Duc Thang University, Vietnam

Tran Dinh Cuong is a lecturer in the Faculty of Electrical-Electronic Engineering at Ton Duc Thang University. He received his BE, and ME degrees from Ho Chi Minh City University Of Technology, Vietnam, and his Ph.D. from the VSB-Technical University of Ostrava, the Czech Republic, in 2005, 2008, and 2020. His research interests include modern control methods and intelligent algorithms in motor drives. He can be contacted at email: trandinhcuong@tdtu.edu.vn. ORCID:  https://orcid.org/0000-0002-5268-0779

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Published

28-10-2024

How to Cite

[1]
Trần Trọng Đạo, Đinh Hoàng Bách, and Trần Đình Cương, “Speed Sensorless Control Method Using Improving MRAS Technique for Three-phase Induction Motor Drive”, JTE, vol. 19, no. Special Issue 04, pp. 60–70, Oct. 2024.