Optimising torque for three-disc afpmsm in electric vehicles using bp_ann and anfis algorithms
Email:
vothanhha.ktd@utc.edu.vn
Tóm tắt
Designing an optimal torque distribution controller for the three-disc axial flux permanent magnet synchronous (three-disc AFPMSM) optimises performance while ensuring robustness, stability, and adaptability in a real-world condition. This is crucial for maximising the potential of AFPMSM, particularly in a modern application like an electric vehicle and a renewable energy. Thus, a controller compatible with more complex systems in the future is essential. This paper presents a system that combines torque control algorithms based on a back-propagation neural network (BP-ANN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The BP-ANN uses a multi-layer structure where the input layer processes factors such as load torque, rotational speed, and stator current, hidden layers model complex nonlinear interactions, and the output layer predicts optimal torque for AFPMSM operation. Training involves minimising the error between predicted and actual torque through gradient descent and iterative adjustments of weights and biases. The ANFIS-based control enhances performance by integrating neural network learning with fuzzy logic to optimise torque output. By leveraging the strengths of both BP-ANN and ANFIS, the system offers a stable, efficient, and adaptable solution for three-disc AFPMSMs. The Matlab/Simulink simulations confirm its effectiveness, showing balanced torque distribution, reduced energy losses, improved drivetrain efficiency, and adaptability to sudden load or road changes, ensuring stability and enhanced dynamic responseTài liệu tham khảo
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[14]. Nguyen Van Hai, Vo Thanh Ha, Genetic Algorithm Turned PID Control of AFPMSM for Electrical Vehicle Application, SSRG International Journal of Electrical and Electronics Engineering, 11(2024) 119-128. https://doi.org/10.14445/23488379/IJEEE-V11I2P113
[15]. Vo Thanh Ha, Nguyen Van Hai, Adaptive Neuro-Fuzzy Control of a Single-Sided AFPMSM Motor for Electric Vehicle Applications, SSRG International Journal of Electrical and Electronics Engineering, 11(2024) 118-129. https://doi.org/10.14445/23488379/IJEEE-V11I4P113
[16]. Duy Hoang Dao, Trong Minh Tran, Thanh Ha Vo, 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, 19 (2024). https://doi.org/10.54644/jte.2024.1438
[17]. N. S. Farhan, F. A. Hasan, A. R. D. Humud, Field-oriented control of AFPMSM for an electrical vehicle using adaptive neuro-fuzzy inference system (ANFIS), Engineering and Technology Journal, 39 (2021) 1571-1582. https://doi.org/10.54644/jte.2024.1438
[2]. M. Zhu, X.-Y. Liu, F. Tang, M. Qiu, R. Shen, W. Shu, M.-Y. Wu, Public vehicles for future urban transportation, IEEE Trans. Intell. Transp. Syst., 17 (2016) 3344–3353. https://doi.org/10.1109/TITS.2016.2543263
[3]. X. Sun, C. Hu, J. Zhu, S. Wang, W. Zhou, Z. Yang, G. Lei, K. Li, B. Zhu, Y. Guo, MPTC for PMSMs of EVs with multi-motor driven system considering optimal energy allocation, IEEE Trans. Magn., 55 (2019) 8104306. https://doi.org/10.1109/TMAG.2019.2904289
[4]. Z. Shi, X. Sun, Y. Cai, Z. Yang, G. Lei, Y. Guo, J. Zhu, Torque analysis and dynamic performance improvement of a PMSM for EVs by skew angle optimisation, IEEE Trans. Appl. Supercond., 29 (2019) 1–5. http://hdl.handle.net/10453/131822
[5]. X. Tang, W. Yang, X. Hu, D. Zhang, A novel simplified model for torsional vibration analysis of a series-parallel hybrid electric vehicle, Mech. Syst. Signal Process., 85 (2017) 329–338. https://doi.org/10.1016/j.ymssp.2016.08.020.
[6]. X.-L. Tang, X. Hu, W. Yang, H. Yu, Novel torsional vibration modelling and assessment of a power-split hybrid electric vehicle equipped with a dual-mass flywheel, IEEE Trans. Veh. Technol., 67 (2018) 1990–2000. https://doi.org/10.1109/TVT.2017.2769084
[7]. M. Aydin, M. Gulec, Y. Demir, B. Akyuz, E. Yolacan, Design and validation of a 24-pole coreless axial flux permanent magnet motor for a solar-powered vehicle, Proc. IEEE 22nd ICEM, Lausanne, Switzerland, (2016) 1493–1498. https://doi.org/10.1109/ICELMACH.2016.7732721
[8]. J. Zhao, B. Li, Z. Gu, Research on an axial flux PMSM with radially sliding permanent magnets. Energies, 8 (2015) 1663–1684. https://doi.org/10.3390/en8031663
[9]. A. Hemeida, P. Sergeant, A. Rasekh, H. Vansompel, J. Vierendeels, An optimal design of a 5MW AFPMSM for wind turbine applications using an analytical model, Proc. IEEE 22nd ICEM, Lausanne, Switzerland, (2016) 1290–1297. https://doi.org/10.1109/ICELMACH.2016.7732691
[10]. Jianfei Zhao, li xiao zheng, Shuang Wang, Mini Hua, Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method, (2019). https://doi.org/10.1109/ACCESS.2019.2939759
[11]. B. Nanda, Fuzzy Logic Based Field Oriented Control Of Permanent Magnet Synchronous Motor, International Journal of Electrical Electronics and Data Communication, (2015). https://doi.org/10.18479/ijeedc/2015/v3i8/48350
[12]. D. V.Lukichev, G. L. Demidova, A. Y. Kuzin, A. V. Saushev, Application of adaptive Neuro-Fuzzy Inference System (ANFIS) controller in servo drive with multi-mass object, 2018 25th International Workshop on Electric Drives: Optimization in Control of Electric Drives (IWED), Moscow, (2018) 1-6. https://doi.org/10.1109/IWED.2018.8321388
[13]. W.A. Salem, G.F. Osman, S.H. Arfa, Adaptive Neuro-Fuzzy Inference System Based Field Oriented Control of PMSM & Speed Estimation, 2018 Twentieth International Middle East Power Systems Conference” (MEPCON), (2018) 626-631. https://doi.org/10.11591/eei.v11i4.3818
[14]. Nguyen Van Hai, Vo Thanh Ha, Genetic Algorithm Turned PID Control of AFPMSM for Electrical Vehicle Application, SSRG International Journal of Electrical and Electronics Engineering, 11(2024) 119-128. https://doi.org/10.14445/23488379/IJEEE-V11I2P113
[15]. Vo Thanh Ha, Nguyen Van Hai, Adaptive Neuro-Fuzzy Control of a Single-Sided AFPMSM Motor for Electric Vehicle Applications, SSRG International Journal of Electrical and Electronics Engineering, 11(2024) 118-129. https://doi.org/10.14445/23488379/IJEEE-V11I4P113
[16]. Duy Hoang Dao, Trong Minh Tran, Thanh Ha Vo, 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, 19 (2024). https://doi.org/10.54644/jte.2024.1438
[17]. N. S. Farhan, F. A. Hasan, A. R. D. Humud, Field-oriented control of AFPMSM for an electrical vehicle using adaptive neuro-fuzzy inference system (ANFIS), Engineering and Technology Journal, 39 (2021) 1571-1582. https://doi.org/10.54644/jte.2024.1438
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Nhận bài
28/11/2024
Nhận bài sửa
05/12/2024
Chấp nhận đăng
10/01/2025
Xuất bản
15/01/2025
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Kiểu trích dẫn
Nguyen Van, H., & Vo Thanh, H. (1736874000). Optimising torque for three-disc afpmsm in electric vehicles using bp_ann and anfis algorithms. Tạp Chí Khoa Học Giao Thông Vận Tải, 76(1), 1-15. https://doi.org/10.47869/tcsj.76.1.1
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