This study evaluates electrical faults on an inverter control drive using simulations in MATLAB Simulink and recommends a fuzzy logic technique for analyzing electrical faults of such drives. Fault analysis of a drive is based on voltage, speed, current, and torque. This article presents soft computing methods for voltage fluctuations and fault detection in an inverter switch to an inverter control drive with the support of a MATLAB Simulink model. Accordingly, failure analysis techniques based on fuzzy logic are explained. The fuzzy system allows altered voltage and open-switch fault detection. Soft computing techniques offer excellent analysis of a faulty structure, even if precise models are not available. This study presents a fuzzy logic–based fault diagnosis scheme for detecting and identifying faults. The simulation outcomes reveal excellent performance of the method, proving its applicability for fault detection in squirrel-cage induction motors. All simulated results, voltage fluctuations, torques, currents, ripples, and harmonics in healthy and defective situations are analyzed.
Kannan, V.; Santhi, M.; and Sureshkumar, D.
"MULTIPLE FAULT ANALYSIS USING A FUZZY LOGIC TECHNIQUE FOR AN INVERTER CONTROL DRIVE,"
Journal of Marine Science and Technology: Vol. 28:
1, Article 6.
Available at: https://jmstt.ntou.edu.tw/journal/vol28/iss1/6