Advanced Control Solution for Three-Phase Induction Motors in Magnetic Saturation Region: Published online: 22/10/2025
Tóm tắt
Từ khóa
#Induction motor #Torque control #Robust control #Magnetic saturation region #Motor drives #AC and DC drivesTài liệu tham khảo
W. Qiu, X. Zhao, A. Tyrrell, S. Perinpanayagam, S. Niu, and G. Wen, “Application of artificial intelligence-based technique in electric motors: A review,” IEEE Transactions on Power Electronics, vol. 39, no. 10, pp. 13543–13568, Oct. 2024.
M. Popescu, L. D. Leonardo, G. Fabri, G. Volpe, N. Riviere, and M. Villani, “Design of induction motors with flat wires and copper rotor for E-vehicles traction system,” IEEE Transactions on Industry Applications, vol. 59, no. 3, pp. 3889–3900, May–June 2023.
L. Wogi, A. Thelkar, T. Tahiro, T. Ayana, S. Urooj, and S. Larguech, “Particle swarm optimization based optimal design of six-phase induction motor for electric propulsion of submarines,” Energies, vol. 15, no. 9, p. 2994, Apr. 2022.
A. Kasri, K. Ouari, Y. Belkhier, M. Bajaj, and I. Zaitsev, “Optimizing electric vehicle powertrains peak performance with robust predictive direct torque control of induction motors: A practical approach and experimental validation,” Scientific Reports, vol. 14, no. 14977, Jun. 2024.
Q. N. Vinh and T. L. Le, “Optimal frequency modulation of carrier waves and its application to induction motor drive systems,” Electrical Engineering, Dec. 2024.
H. V. Coutinho, J. A. Toledo, L. A. R. Silva, and T. A. C. Maia, “Design and implementation of a low-cost and low-power converter to drive a single-phase motor,” Machines, vol. 11, no. 7, p. 673, Jun. 2023.
A. N. Abdullah, A. H. Mutlag, and M. S. Ahmed, “Neural network based home energy management for modelling and controlling home appliances under demand response,” Journal of Physics: Conference Series, vol. 1963, no. 1, p. 012097, May 2021.
S. Ghosh, A. Chatterjee, and D. Chatterjee, “An improved load feature extraction technique for smart homes using fuzzy-based NILM,” IEEE Transactions on Instrumentation and Measurement, vol. 70, article no. 2511209, Jul. 2021.
T. L. Le, M. F. Hsieh, and M. T. Nguyen, “Robust speed control with disturbance rejection for surface-mounted permanent magnet synchronous motor,” Proc. 6th Int. Conf. Green Technol. Sustain. Dev. (GTSD), pp. 459–463, Jul. 2022.
M. Affan and R. Uddin, “Brain emotional learning and adaptive model predictive controller for induction motor drive: A new cascaded vector control topology,” International Journal of Control, Automation and Systems, vol. 19, pp. 3122–3135, 2021.
R. R. Kumar, M. Andriollo, G. Cirrincione, M. Cirrincione, and A. Tortella, “A comprehensive review of conventional and intelligence-based approaches for the fault diagnosis and condition monitoring of induction motors,” Energies, vol. 15, no. 23, p. 8938, Nov. 2022.
M. A. Sheikh, S. T. Bakhsh, and M. Irfan, “A review to diagnose faults related to three-phase industrial induction motors,” Journal of Failure Analysis and Prevention, vol. 22, pp. 1546–1557, Jul. 2022.
R. Kumar and P. Kumar, “Core loss estimation for an inverter-fed induction motor with more accurate realisation of material non-linearity and impact of hysteresis minor loops,” IEEE Transactions on Energy Conversion, vol. 37, no. 1, pp. 327–336, Mar. 2022.
M. F. Hsieh, Y. H. Chang, and D. G. Dorrell, “Design and analysis of brushless doubly fed reluctance machine for renewable energy applications,” IEEE Transactions on Magnetics, vol. 52, no. 7, article no. 8204705, Jul. 2016.
P. D. Nguyen, A. V. Vo, T. L. Le, and G. T. T. Lai, “Field-oriented control strategy for induction motor drives,” Eastern International University Scientific Conference 2023 (EIUSC 2023), pp. 438–445, Nov. 2023.
I. Takahashi and T. Noguchi, “A new quick-response and high-efficiency control strategy of an induction motor,” IEEE Transactions on Industry Applications, vol. IA-22, no. 5, pp. 820–827, 1986.
M. Depenbrock, “Direct self-control (DSC) of inverter-fed induction machine,” IEEE Transactions on Power Electronics, vol. 3, no. 4, pp. 420–429, Oct. 1988.
J. Cai, X. Dou, A. D. Cheok, Y. Yan, and X. Zhang, “Overview of the direct torque control strategy in switched reluctance motor drives,” IEEE Transactions on Transportation Electrification, Early Access, pp. 1–1, Jun. 2024.
T. L. Le and M. F. Hsieh, “An enhanced direct torque control strategy with composite controller for permanent magnet synchronous motor,” Asian Journal of Control, vol. 26, no. 4, pp. 1683–1702, Jul. 2024.
S. S. Sivaraju, T. Senthilkumar, R. Sankar, T. Anuradha, S. Usha, and I. B. Musirin, “Improving the efficiency of induction motor drive by flux and torque control: A hybrid LSE-RERNN approach,” ISA Transactions, vol. 147, pp. 215–226, Apr. 2024.
S. Savarapu, M. Qutubuddin, and Y. Narri, “Modified brain emotional controller-based ripple minimization for SVM-DTC of sensorless induction motor drive,” IEEE Access, vol. 10, pp. 40872–40887, Apr. 2022.
F. Z. Latrech, A. B. Rhouma, and A. Khedher, “FPGA implementation of a robust DTC-SVM based sliding mode flux observer for a double star induction motor: Hardware in the loop validation,” Microelectronics Reliability, vol. 150, p. 115118, Nov. 2023.
F. B. Salem, M. T. Almousa, and N. Derbel, “Enhanced control technique for induction motor drives in electric vehicles: A fractional-order sliding mode approach with DTC-SVM,” Energies, vol. 17, no. 17, p. 4340, Aug. 2024.
N. K. Shukla, R. Srivastava, and S. Mirjalili, “A hybrid dragonfly algorithm for efficiency optimization of induction motors,” Sensors, vol. 22, no. 7, p. 2594, Mar. 2022.
Y. Zhang and H. Yang, “Model predictive torque control of induction motor drives with optimal duty cycle control,” IEEE Transactions on Power Electronics, vol. 29, no. 12, pp. 6593–6603, Dec. 2014.
C. Zhang, B. Xu, J. Jasni, M. A. M. Radzi, N. Azis, and Q. Zhang, “Three voltage vector duty cycle optimization strategy of the permanent magnet synchronous motor driving system for new energy electric vehicles based on finite set model predictive control,” Energies, vol. 16, no. 6, p. 2684, Mar. 2023.
S. Gao, Y. Wei, D. Zhang, H. Qi, and Y. Wei, “A modified model predictive torque control with parameters robustness improvement for PMSM of electric vehicles,” Actuators, vol. 10, no. 6, p. 132, Jun. 2021.
S. Zhang, O. Wallscheid, and M. Porrmann, “Machine learning for the control and monitoring of electric machine drives: Advances and trends,” IEEE Open Journal of Industry Applications, vol. 4, pp. 188–214, Jun. 2023.
A. Farea, O. Y. Harja, and F. E. Streib, “Understanding physics-informed neural networks: Techniques, applications, trends, and challenges,” AI, vol. 5, no. 3, pp. 1534–1557, Aug. 2024.
A. S. Chivukula, X. Yang, B. Liu, W. Liu, and W. Zhou, “Game theoretical adversarial deep learning,” in Adversarial Machine Learning, Springer, Cham, 2023.
