ed3e0b2d-fa9a-4de9-98e8-f66259208bbb20240411065057641wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON SYSTEMS AND CONTROL2224-28561991-876310.37394/23203http://wseas.org/wseas/cms.action?id=4073117202411720241910.37394/23203.2024.19https://wseas.com/journals/sac/2024.phpMariem AhmedBabaEngineering for Smart and Sustainable Systems Research Center, Mohammadia School of Engineers, Mohammed V University, BP: 765, Av. Ibn Sina, Agdal - Rabat, MOROCCOMohamedNaouiResearch Unit of Energy Processes Environment and Electrical Systems, National Engineering School of Gabes, University of Gabés, Gabés 6029, TUNISIAAhmedAbbouEngineering for Smart and Sustainable Systems Research Center, Mohammadia School of Engineers, Mohammed V University, BP: 765, Av. Ibn Sina, Agdal - Rabat, MOROCCOMohamedCherkaouiEngineering for Smart and Sustainable Systems Research Center, Mohammadia School of Engineers, Mohammed V University, BP: 765, Av. Ibn Sina, Agdal - Rabat, MOROCCOThe Brushless DC (BLDC) motor is a common choice for industrial applications, particularly in the automotive sector, owing to its high efficiency and robust capabilities. To detect the position of the motor rotor, hall-effect sensors can be used, but these sensors may prevent the system from operating if they fail. Consequently, fault-tolerant control (FTC) has been proposed in several studies to ensure continuity of operation in the event of sensor failure. This paper proposes an innovative method of fault detection in the hall effect sensor for a BLDC motor using combinatorial functions. This paper proposes an innovative method of hall-effect sensor fault detection for a BLDC motor using combinatorial functions. For the speed control of the BLDC under study, a hybrid adaptive neuro-fuzzy inference control (ANFIS) is implemented. In addition, the FTC signal reconstruction technique adopted has been improved to achieve motor start-up despite a fault in one of the sensors, thanks to well-defined fault detection algorithms. Simulation results are presented for each sensor failure case to test the effectiveness of the method used.4112024411202439505https://wseas.com/journals/sac/2024/a105103-003(2024).pdf10.37394/23203.2024.19.5https://wseas.com/journals/sac/2024/a105103-003(2024).pdf10.11591/ijece.v9i5.pp3333-3343Alsayid, B., Salah, W. A., & Alawneh, Y. (2019). Modeling of censored speed control of BLDC motor using MATLAB/SIMULINK. International Journal of Electrical and Computer Engineering, 9(5), 3333. 10.1049/iet-pel.2008.0313Singh, B., & Singh, S. (2009). State-of-art on permanent magnet brushless DC motor drives. Journal of power electronics, 9(1), 1- 17. 10.37394/232015.2024.20.4Boldyriev, S., Steshenko, T., Serohina, S., Fomina, S., & Kapelista, I. (2024). 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