An Improved Speed Controller for FOC IM Drive Using Fuzzy Logic

Online First: 13/08/2026

Các tác giả

Email tác giả liên hệ:

vohuuhau@tdtu.edu.vn

DOI:

https://doi.org/10.54644/jte.2026.2065

Từ khóa:

Induction motor, Field-oriented control, Speed controller, Proportional-integral, Fuzzy logic

Tóm tắt

The paper deals with employment of fuzzy logic (FL) to modify the proportional-integral (PI) speed controller in field-oriented control (FOC) for induction motor drive. First, FOC strategy containing the PI speed one is presented. The controller using fixed proportional gain and integral time constant can achieve high performance if they are properly tuned.  However, tuning becomes difficult in cases where the load range and working speed change. Fuzzy logic technique is utilized to increase the adaption of the proportional gain and integral time constant to variations of load and speed. Numerical simulations for two speed controllers fixed PI and fuzzy PI ones are deployed in Matlab environment. Evaluations using overshoot, undershoot, integral of time multiplied by the absolute value of the speed error (ITAE), integral of the absolute value of the speed error (IAE), integral of time multiplied by the square of the speed error (ITSE), and integral of the square of the speed error (ISE), are carried out. Simulation results and assessments confirm that the fuzzy logic significantly improves the utilized  criterions compared to the case without fuzzy logic.

Tải xuống: 0

Dữ liệu tải xuống chưa có sẵn.

Tiểu sử của Tác giả

Huu Hau Vo, Ton Duc Thang University, Vietnam

Huu Hau Vo received his Ph.D. degree in Electrical Engineering from VSB-Technical University of Ostrava (VSB-TUO), Czech Republic in 2017. He has been working as a Lecturer at Faculty of Electrical and Electronics Engineering (FEEE), Ton Duc Thang University (TDTU) since 2010. His current research interests are modern control and automation, sensorless control.

Email: vohuuhau@tdtu.edu.vn. ORCID:  https://orcid.org/0000-0002-0904-307X.

Quang Tri Thieu, Ton Duc Thang University, Vietnam

Quang Tri Thieu received his M.Eng. degree in Mechatronics Engineering from Asian Institute of Technology, Thailand in 2009. He has been working as a Lecturer at FEEE, TDTU since 2010. He is currently a PhD. student in Electrical Engineering at the FEEE, TDTU. His research interests include robotics, metrology, and electrical drives.

Email: thieuquangtri@tdtu.edu.vn. ORCID:  https://orcid.org/0009-0000-4063-3011.

Trong Dao Tran, Ton Duc Thang University, Vietnam

Trong Dao Tran received the B.Eng. and M.Eng. degrees in automatic control and engineering informatics from the VSB-TUO, in 2004 and 2006, respectively, and the Ph.D. degree in technical cybernetics from Tomas Bata University in Zlin, in 2009. He has been working as a Lecturer at TDTU since 2010.  He has co-authored research papers and articles in international journals, conference proceedings, conference paper presentations, and book chapters; and an Editor of AETA Proceedings: Recent Advances in Electrical Engineering and Related Sciences. His research interests include the fields of applied informatics and control, modeling and simulation systems, optimization systems, artificial intelligence and application, and evolutionary algorithms.

Email: trantrongdao@tdtu.edu.vn. ORCID:  https://orcid.org/0000-0001-6510-0027.

Tài liệu tham khảo

B. K. Bose, "Control and Estimation of Induction Motor Drives," in Modern Power Electronics and AC Drives. Upper Saddle River, NJ, USA: Prentice Hall, 2002, ch. 8, sec. 4, pp. 333–387.

H. H. Vo, P. Brandstetter, C. S. T. Dong, and T. C. Tran, "Speed estimators using stator resistance adaptation for sensorless induction motor drive," Adv. Electr. Electron. Eng., vol. 14, no. 3, pp. 267–273, Sep. 2016. DOI: https://doi.org/10.15598/aeee.v14i3.1732

W. Qiu, X. Zhao, A. Tyrrell, S. Perinpanayagam, S. Niu, and G. Wen, "Application of artificial intelligence-based techniques in electric motors: A review," IEEE Trans. Power Electron., vol. 39, no. 10, pp. 13543–13568, Oct. 2024. DOI: https://doi.org/10.1109/TPEL.2024.3410958

H. A. G. Al-Kaf, K. B. Lee, and F. Blaabjerg, "Overview of DSP-based implementation of machine learning methods for power electronics and motor drives," J. Power Electron., vol. 25, no. 2, pp. 271–288, Feb. 2025. DOI: https://doi.org/10.1007/s43236-024-00975-2

A. Khemis, T. Boutabba, M. Kaddache, L. Laggoun, and G. Boukhalfa, "A new approach of sensorless control of induction motor using Type-2 fuzzy logic observer," in Proc. 5th Int. Conf. Electr. Eng. Control Appl., 2022, pp. 217–231, doi: 10.1007/978-981-97-0045-5. DOI: https://doi.org/10.1007/978-981-97-0045-5_21

Q. T. Nguyen et al., "Fuzzy Luenberger observer for sensorless control of induction motor drive," in Proc. AETA 2022—Recent Advances in Electrical Engineering and Related Sciences: Theory and Application, 2022, doi: 10.1007/978-981-99-8703-0. DOI: https://doi.org/10.1007/978-981-99-8703-0

X. Zou, H. Ding, and J. Li, "Sensorless control strategy of permanent magnet synchronous motor based on fuzzy sliding mode controller and fuzzy sliding mode observer," J. Electr. Eng. Technol., vol. 18, no. 3, pp. 2355–2369, May 2023. DOI: https://doi.org/10.1007/s42835-022-01352-4

Q. Abdullah et al., "Sensorless speed control of induction motor drives using reinforcement learning and self-tuning simplified fuzzy logic controller," IEEE Access, vol. 12, pp. 136485–136501, 2024. DOI: https://doi.org/10.1109/ACCESS.2024.3435529

X. Wang, Q. Wang, Z. Yang, and Y. Li, "Sensorless control of permanent magnet synchronous motorized spindles with parameters adjustment based on fuzzy control algorithm," IEEE J. Emerg. Sel. Topics Power Electron., vol. 13, no. 4, pp. 5262–5272, Aug. 2025. DOI: https://doi.org/10.1109/JESTPE.2025.3569564

Z. Yang, J. Jia, X. Sun, and T. Xu, "A fuzzy-ELADRC method for a bearingless induction motor," IEEE Trans. Power Electron., vol. 37, no. 10, pp. 11803–11813, Oct. 2022. DOI: https://doi.org/10.1109/TPEL.2022.3177204

P. Ma, J. Yu, Q. G. Wang, and J. Liu, "Filter- and observer-based finite-time adaptive fuzzy control for induction motor systems considering stochastic disturbance and load variation," IEEE Trans. Power Electron., vol. 38, no. 2, pp. 1599–1609, Feb. 2023. DOI: https://doi.org/10.1109/TPEL.2022.3211412

L. Tang et al., "Model predictive thrust control for linear induction machine: A fuzzy optimization approach," IEEE Trans. Ind. Appl., vol. 59, no. 2, pp. 2532–2545, Mar./Apr. 2023. DOI: https://doi.org/10.1109/TIA.2022.3225513

J. Yu, Q. G. Wang, G. Wang, P. Ma, and J. Liu, "Command-filtered adaptive fuzzy control for induction motors with iron losses and stochastic disturbances via reduced-order observer," IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 70, no. 4, pp. 1525–1529, Apr. 2023. DOI: https://doi.org/10.1109/TCSII.2022.3221094

H. H. Vo and P. Brandstetter, "Modified fuzzy logic PI speed controller with scheduling boundaries of integral time constant for PMSM drive," Przegląd Elektrotechniczny, vol. 99, no. 11, pp. 175–179, Nov. 2023.

R. Datta and Y. H. Joo, "Fuzzy memory sampled-data controller design for PMSG-based WECS with stochastic packet dropouts," IEEE Trans. Fuzzy Syst., vol. 31, no. 12, pp. 4421–4434, Dec. 2023. DOI: https://doi.org/10.1109/TFUZZ.2023.3285589

T. L. Le et al., "Intelligent controller design for precise trajectory control in magnetic levitation systems," J. Tech. Educ. Sci., vol. 19, Special Issue 02, pp. 14–23, Apr. 2024. DOI: https://doi.org/10.54644/jte.2024.1426

D. Perdukova, P. Fedor, M. Sobek, and J. Bacik, "A simple linearization method of nonlinear systems based on fuzzy logic," IEEE Access, vol. 12, pp. 165441–165457, 2024. DOI: https://doi.org/10.1109/ACCESS.2024.3493251

D. D. Hoang, T. T. Minh, and V. T. Ha, "Torque control of an in-wheel axial flux permanent magnet synchronous motor using adaptive neuro-fuzzy inference system (ANFIS) for electric vehicle applications," J. Tech. Educ. Sci., vol. 19, no. 4, pp. 43–54, Aug. 2024.

D. Q. Nguyen, H. H. Vo, and P. Brandstetter, "Modified fuzzy speed controller of induction motor drive using extended Kalman filtering," MM Sci. J., vol. 17, no. 6, pp. 7888–7896, Dec. 2024. DOI: https://doi.org/10.17973/MMSJ.2024_12_2024047

M. I. Abdelwanis, "Optimizing the performance of six-phase induction motor-powered electric vehicles with fuzzy-PID and DTC," Neural Comput. Appl., vol. 37, no. 16, pp. 9721–9734, Jun. 2025. DOI: https://doi.org/10.1007/s00521-024-10455-0

M. R. Velpula, "A novel fuzzy cerebellar adaptive neuro-intelligent controller for high-performance brushless DC motor drives," Int. J. Dyn. Control, vol. 13, no. 2, Art. no. 82, Jan. 2025. DOI: https://doi.org/10.1007/s40435-025-01590-0

H. T. Nguyen, N. R. Prasad, C. L. Walker, and E. A. Walker, "Fuzzy Logic for Control," in A First Course in Fuzzy and Neural Control. Boca Raton, FL, USA: CRC Press, 2003, ch. 3, sec. 9, pp. 120–123.

P. X. Minh and N. D. Phuoc, Fuzzy Control Theory. Hanoi, Vietnam: Science and Technics Publishing House, 2006. (in Vietnamese).

M. H. Ramadhan, I. Setiawan, and S. Handoko, "Performance evaluation of PSO-optimized PI controller for quadratic boost converter: A comparative study of ITAE, IAE, ITSE, and ISE objective functions," in Proc. 12th Int. Conf. Inf. Technol., Comput., Electr. Eng. (ICITACEE), Semarang, Indonesia, 2025, pp. 1–7, doi: 10.1109/ICITACEE66165.2025.11232570. DOI: https://doi.org/10.1109/ICITACEE66165.2025.11232570

Tải xuống

Đã Xuất bản

2026-08-13

Cách trích dẫn

[1]
H. H. Vo, Q. T. Thieu, và T. D. Tran, “An Improved Speed Controller for FOC IM Drive Using Fuzzy Logic: Online First: 13/08/2026”, JTE, tháng 8 2026.