Intelligent Controller Based Speed Control of Front End Asymmetric Converter fed Switched Reluctance Motor

Switched Reluctance Motor (SRM) is increasing prominence due to its simple and rugged construction, absence of winding on its rotor, low manufacturing cost, high power density, fault tolerant capability. These advantages with SRM are overshadowed by the existence of torque ripple, noise vibration, requirement of rotor position information, complex control due to the nonlinear characteristics. This paper presents a new drive circuit for switched reluctance motor for controlling the speed using intelligent technique like Fuzzy Logic Controller (FLC). The FLC has turned into a critical system in control building. This paper presents the fuzzy logic controller for speed control of SRM. The controller tracks the exact speed response than PID controller. The simulation results reveal that the FLC gives the better performance in SRM. The Fuzzy Logic Controller has quick reacted, effectively altered, less expensive to execute and does not require any numerical modeling, smooth speed tracing with no crest overshoot when compared with conventional controller.