Improved MRAS with stator and rotor resistance estimation for vector control of induction motors

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Authors

  • Tran Dinh Cuong (Corresponding Author) Faculty of Electrical and Electronics Engineering, Ton Duc Thang University
  • Phan Thanh Tai Faculty of Electrical and Electronics Engineering, Ton Duc Thang University
  • Nguyen Thanh Quang Faculty of Electrical and Electronics Engineering, Ton Duc Thang University
  • Phan Tran Dang Khoa Faculty of Electrical and Electronics Engineering, Ton Duc Thang University

DOI:

https://doi.org/10.54939/1859-1043.j.mst.109.2026.14-24

Keywords:

Induction Motor; Field-Oriented Control; Speed Sensorless; RF-MRAS; Resistance Variation.

Abstract

This research addresses the degradation of speed estimation accuracy in speed-sensorless induction motor drives that arises from temperature-dependent variations of stator and rotor resistances. These parameter changes significantly affect the Rotor Flux-Based Model Reference Adaptive System (RF-MRAS) observer, leading to reduced robustness and unstable operation under dynamic conditions. To mitigate this issue, an enhanced Field-Oriented Control (FOC) scheme is proposed, integrating an adaptive RF-MRAS observer with an online estimation mechanism for the stator resistance and a proportional inference approach for the rotor resistance. A complete induction motor model is formulated in the stationary α-β reference frame and subsequently transformed into the rotating d-q frame to facilitate the implementation of the vector control strategy. Simulation studies, conducted under both sudden step changes and gradual ramp variations of the motor resistances, verify that the proposed method significantly improves speed estimation accuracy and enhances overall system stability. Owing to its simple structure and low computational burden, the proposed approach is suitable for real-time embedded applications in modern sensorless motor drive systems.

Author Biographies

Tran Dinh Cuong, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University

Cuong Dinh Tran is the deputy head of the Electrical Engineering Department, Faculty of Electrical and Electronics Engineering at Ton Duc Thang University, Vietnam. He received his B.E., M.E degrees from Ho Chi Minh City University Of Technology, Vietnam, and Ph.D. degree from 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

Phan Thanh Tai, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University

Tai Thanh Phan was born in Vietnam in 1995. He received a Master's degree in Electrical Engineering from Ton Duc Thang University, Ho Chi Minh City, Vietnam, in 2020. Now, he is a Ph.D. candidate and lecturer specializing in Electrical Engineering, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Vietnam. His research areas are the application of optimization algorithms in the power system, renewable energy and intelligent algorithms in motor drives. He can be contacted at email: phanthanhtai@tdtu.edu.vn

Nguyen Thanh Quang, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University

Quang Thanh Nguyen was born in Vietnam in 1991. He received a Master's degree in Automation and Control Engineering from Ton Duc Thang University, Ho Chi Minh City, Vietnam, in 2019. Now, he is a Ph.D. candidate and lecturer specializing in Electrical Engineering, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Vietnam. His research interests include microcontrollers, robots, SCADA, and intelligent algorithms in motor drives. He can be contacted at email: nguyenthanhquang@tdtu.edu.vn

Phan Tran Dang Khoa, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University

Khoa Dang Tran Phan received a bachelor’s degree in electrical engineering from Ton Duc Thang University, Ho Chi Minh City, Vietnam, in 2024. Now, he is a teaching assistant at the Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam. His research areas are power supply, electric machine, advanced control theory in motor drives. He can be contacted at email: phantrandangkhoa@tdtu.edu.vn

References

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Published

25-02-2026

How to Cite

[1]
D. C. Tran, T. T. Phan, Q. T. Nguyen, and K. D. T. Phan, “Improved MRAS with stator and rotor resistance estimation for vector control of induction motors”, J. Mil. Sci. Technol., vol. 109, no. 109, pp. 14–24, Feb. 2026.

Issue

Vol. 109 (2026)

Section

Electronics & Automation