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All issues Volume 680 (2025) E3S Web Conf., 680 (2025) 00042 References
Open Access
Issue
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
Article Number 00042
Number of page(s) 11
DOI https://doi.org/10.1051/e3sconf/202568000042
Published online 19 December 2025
  1. K. Kroičs et A. Būmanis, « BLDC Motor Speed Control with Digital Adaptive PID-Fuzzy Controller and Reduced Harmonic Content », Energies, vol. 17, no 6, p. 1311, 2024. [Google Scholar]
  2. Z. A. Al-Dabbagh et S. W. Shneen, «Design of a PID Speed Controller for BLDC Motor with Cascaded Boost Converter for High-Efficiency Industrial Applications.», Int. J. Robot. Control Syst., vol. 5, no 1, 2025. [Google Scholar]
  3. H. Sarma et A. Bardalai, «An intelligent PID controller tuning for speed control of BLDC motor using driving training-based optimization», Int. J. Power Electron. Drive Syst. IJPEDS, vol. 14, no 4, p. 2474-2486, 2023. [Google Scholar]
  4. S. N. Rao, B. M. K. Kumar, B. M. Manjunatha, et A. S. Kumar, «Modified invasive weed optimization MPPT approach for PV system interfaced with BLDC motor for water pumping system», J. Eng. Appl. Sci., vol. 72, no 1, déc. 2025, doi: 10.1186/s44147-025-00651-7. [Google Scholar]
  5. S. Kaul, N. Tiwari, S. Yadav, et A. Kumar, «Comparative Analysis and Controller Design for BLDC Motor Using PID and Adaptive PID Controller», Recent Adv. Electr. Electron. Eng. Former. Recent Pat. Electr. Electron. Eng., vol. 14, no 6, p. 671-682, nov. 2021, doi: 10.2174/2352096514666210823152446. [Google Scholar]
  6. D. Joshi, D. Deb, et A. K. Giri, «MRAS disturbance observer-based sensorless field-oriented backstepping control of BLDC motor drive», Electr. Eng., vol. 106, no 5, p. 6681-6701, oct. 2024, doi: 10.1007/s00202-024-02378-9. [Google Scholar]
  7. J. W. Chan, «Sliding Mode Control of Brushless DC Motor Speed Control», Malays. J. Sci. Adv. Technol., p. 188-193, 2022. [Google Scholar]
  8. Z. Zhang et Y. Li, «An AEFA-Based optimum design of fuzzy PID controller for attitude control flywheel with BLDC motor», Aerospace, vol. 9, no 12, p. 789, 2022. [Google Scholar]
  9. P. D. S. et S. K. R., «Artificial Neural Network with Optimized FOPID for Speed Control of Sensorless BLDC Motor Drive», Cybern. Syst., p. 1-23, déc. 2022, doi: 10.1080/01969722.2022.2148920. [Google Scholar]
  10. R. Sehab, A. Akrad, Y. Saadi, R. Sehab, A. Akrad, et Y. Saadi, «Super-Twisting Sliding Mode Control to Improve Performances and Robustness of a Switched Reluctance Machine for an Electric Vehicle Drivetrain Application», Energies, vol. 16, no 7, avr. 2023, doi: 10.3390/en16073212. [Google Scholar]
  11. R. Carter S. B. et T. S., «Regenerative Braking in PV‐Mounted Electric Vehicle With Reduced Switch VSI‐ Driven BLDC Motor and HAP‐FUP Controller», Int. Trans. Electr. Energy Syst., vol. 2024, no 1, janv. 2024, doi: 10.1155/etep/6465530. [Google Scholar]
  12. A. Hasni et al., «Reinforcement Learning-Based Control Strategy for BLDC Motors», J. Eur. Systèmes Autom., vol. 58, no 6, juin 2025, doi: 10.18280/jesa.580603. [Google Scholar]
  13. K. Guo, M. Yang, X. Li, P. Shi, et P. Wang, «Research on a new adaptive integral sliding mode controller based on a small BLDC», IEEE Access, vol. 10, p. 73204-73213, 2022. [Google Scholar]
  14. R. Shenbagalakshmi, S. K. Mittal, J. Subramaniyan, V. Vengatesan, D. Manikandan, et K. Ramaswamy, «Adaptive speed control of BLDC motors for enhanced electric vehicle performance using fuzzy logic», Sci. Rep., vol. 15, no 1, p. 12579, 2025. [Google Scholar]
  15. X. Zhao, Y. Gong, H. Jin, et C. Xu, «Adaptive super-twisting-based nonsingular fast terminal sliding mode control of permanent magnet linear synchronous motor», Trans. Inst. Meas. Control, vol. 45, no 16, p. 3057-3066, déc. 2023, doi: 10.1177/01423312231162782. [Google Scholar]
  16. M.-G. Gustavo et R. Jorge, «Super-twisting speed control of a brushless direct current motor with back-emf», IEEE Lat. Am. Trans., vol. 18, no 12, p. 2055-2062, 2021. [Google Scholar]

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