FUZZY BASED FAULT DETECTION AND CONTROL FOR 6/4 SWITCHED RELUCTANCE MOTOR

Abstract

Prompt detection and diagnosis of faults in industrial systems are<br />essential to minimize the production losses, increase the safety of the operator<br />and the equipment. Several techniques are available in the literature to achieve<br />these objectives. This paper presents fuzzy based control and fault detection for a<br />6/4 switched reluctance motor. The fuzzy logic control performs like a classical<br />proportional plus integral control, giving the current reference variation based on<br />speed error and its change. Also, the fuzzy inference system is created and rule<br />base are evaluated relating the parameters to the type of the faults. These rules are<br />fired for specific changes in system parameters and the faults are diagnosed. The<br />feasibility of fuzzy based fault diagnosis and control scheme is demonstrated by<br />applying it to a simulated system.