Torque Control of an In-Wheel Axial Fux Permanent Magnet Synchronous Motor (AFPMSM) Using Adaptive Neuro-Fuzzy Inference System (ANFIS) for Electrical Vehicles Applications

Authors

  • Duy Hoang Dao Hanoi University of Science and Technology, Vietnam
  • Trong Minh Tran Hanoi University of Science and Technology, Vietnam
  • Thanh Ha Vo University of Transport and Commucations, Vietnam https://orcid.org/0000-0003-4023-260X

Corressponding author's email:

vothanhha.ktd@utc.edu.vn

DOI:

https://doi.org/10.54644/jte.2024.1438

Keywords:

AFPMSM, Electrical Vehicle, In-Wheel, ANFIS, Fuzzy

Abstract

This paper presents the design of a torque controller for an in-wheel axial flux permanent magnet synchronous motor based on the adaptive neuro-fuzzy inference system algorithm. This neural network algorithm consists of 5 layers trained based on the Takagi–Sugeno fuzzy logic method. The input layer consists of the error vector and the error derivative of the stator current. The second layer is the fuzzy layer that determines the function of the input vectors. The third layer performs system computations according to fuzzy rules with 5x5 matrices. The fourth layer is the defuzzification layer. The last layer will have the required stator voltage response to the voltage source inverter. Sustainability control evaluation for the AFPMSM using the ANFIS algorithm will be compared with the PI controller if the AFPMSM is unaffected by noise and the AFPMSM parameters change. Simulation MATLAB/SIMULINK performs the results of the evaluation and analysis.

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Author Biographies

Duy Hoang Dao, Hanoi University of Science and Technology, Vietnam

Dao Duy Hoang was born in 1998 and is a master's student at the School of Electrical and Electronics Engineering, Hanoi University of Science and Technology. The main research direction is electric drive control and power electronics in industry and transportation. Email: Hoang.DD211118M@sis.hust.edu.vn

Trong Minh Tran, Hanoi University of Science and Technology, Vietnam

Tran Trong Minh received his Ph.D. in 2007 from Hanoi University of Science and Technology. In 2016, Dr. Tran Trong Minh received the title of Associate Professor. Main research direction: developing new power semiconductor converter structures; Building and developing applications of power electronics; problems related to control and automation of industrial processes. Is the primary author and co-author of many articles and conference reports at home and abroad. Among them is the author of Power Electronics Policy (KHKT publishing house-2008), Power Electronics Textbook (education publisher-2012), and co-author of books such as Integrated Production Systems. Computer (KHKT publishing house-2006). Email: minh.trantrong@hust.edu.vn

Thanh Ha Vo, University of Transport and Commucations, Vietnam

Vo Thanh Ha received her Ph.D. in Control and Automation Engineering from Hanoi University of Science and Technology, Vietnam, in 2020. She has been a lecturer at the University of Transport and Communications since 2005. Her research interests include electric drives, power electronics, control applications for traction drives, robots, autonomous vehicles, driving assistance systems for electric cars, and renewable energy. Email: vothanhha.ktd@utc.edu.vn. ORCID:  https://orcid.org/0000-0003-4023-260X

References

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Published

28-08-2024

How to Cite

[1]
Đào Duy Hoàng, Trần Trọng Minh, and Võ Thanh Hà, “Torque Control of an In-Wheel Axial Fux Permanent Magnet Synchronous Motor (AFPMSM) Using Adaptive Neuro-Fuzzy Inference System (ANFIS) for Electrical Vehicles Applications”, JTE, vol. 19, no. 04, pp. 43–54, Aug. 2024.

Issue

Vol. 19 No. 04 (2024)

Section

Research Article

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