Research Article
Fault-Tolerant Control Using Fuzzy Logic for Induction Motor Drives
Rodrigue Armel Patrick Okemba*
,
Rostand Martialy Davy Loemba Souamy,
Haroun Abba Labane,
Amos Omboua Eyandzi
Issue:
Volume 15, Issue 4, August 2026
Pages:
65-78
Received:
1 July 2026
Accepted:
14 July 2026
Published:
17 August 2026
Abstract: Asynchronous motor drives are extensively used in industrial applications due to their robustness, efficiency, and relatively low cost. However, their performance can be significantly degraded by sensor failures, parameter variations, or power supply disturbances, which compromise reliability and voltage stability. The objective of this research is to propose a fault?tolerant control strategy that enhances the reliability and stability of asynchronous motor drives under degraded operating conditions. To achieve this, a fuzzy logic controller is designed. The controller adaptively adjusts control actions by integrating heuristic rules and membership functions capable of representing system uncertainties, thereby ensuring dynamic adaptability to unexpected disturbances. The methodology consists of designing the fuzzy controller and evaluating its performance through MATLAB/Simulink simulations. Comparative analyses are conducted against classical vector control and PID schemes. The evaluation criteria include voltage stability, dynamic response, and harmonic distortion under scenarios such as sensor faults and load disturbances. Simulation results demonstrate that the proposed fuzzy?based approach maintains voltage stability and ensures satisfactory dynamic performance even in the presence of sensor faults and load variations. Furthermore, comparative analysis highlights superior tolerance to defects and a reduction of harmonic distortion compared with conventional control strategies. In conclusion, fuzzy logic control emerges as a practical and effective solution for industrial applications requiring high reliability. The proposed method improves fault tolerance and system robustness. Future work will focus on experimental validation and integration with hybrid artificial intelligence techniques, paving the way for deployment in critical industrial environments.
Abstract: Asynchronous motor drives are extensively used in industrial applications due to their robustness, efficiency, and relatively low cost. However, their performance can be significantly degraded by sensor failures, parameter variations, or power supply disturbances, which compromise reliability and voltage stability. The objective of this research is...
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