Speed Control of Switched Reluctance Motor Powered by Photovoltaic Energy

The work presented in this paper concerns the speed control of a switched reluctance motor (SRM) by use of a Maximum Power Point Tracking (MPPT) strategy applied to a SEPIC converter. A PV generator is used for energy supply. Fuzzy logic control has become an important methodology in many fields. This paper proposes a Fuzzy Logic Controller (FLC) to control the speed of SRM motor. The main objective of this work is to compare the operation of P& PI based conventional controller and gives the effective performance using Fuzzy Logic Control. The present work concentrates on the design of a fuzzy logic controller for the SRM speed control. Thus the result of applying fuzzy logic controller to a SRM drive gives the best performance and high robustness than a conventional P & PI controller. Simulation is carried out using Matlab simulink