fuzzy based fault detection and control for 6/4 switched reluctance motor

prompt detection and diagnosis of faults in industrial systems areessential to minimize the production losses, increase the safety of the operatorand the equipment. several techniques are available in the literature to achievethese objectives. this paper presents fuzzy based control and fault detection for a6/4 switched reluctance motor. the fuzzy logic control performs like a classicalproportional plus integral control, giving the current reference variation based onspeed error and its change. also, the fuzzy inference system is created and rulebase are evaluated relating the parameters to the type of the faults. these rules arefired for specific changes in system parameters and the faults are diagnosed. thefeasibility of fuzzy based fault diagnosis and control scheme is demonstrated byapplying it to a simulated system.