Fuzzy Based Speed Control of Srm Drive for Pv Integrated Ev System

Shaik Kousar Sana, U. Sravya


This project presents the use of fuzzy logic control (FLC) for switched reluctance motor (SRM) speed. Switched Reluctance Motors (SRM) has a wide range of industrial applications because of their advantages over conventional AC/DC Drives. This is due to simple construction, ruggedness and inexpensive manufacturing potential. Various methods have used and applied to control SRM speed generally, the PV-fed EV has a similar structure to the hybrid electrical vehicle, whose internal combustion engine(ICE) is replaced by the PV panel. The PV has different characteristics to ICEs, the maximum power point tracking (MPPT) and solar energy utilization are the unique factors for the PV-fed EVs.. The main objective of this work is to compare the operation of 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 PI controller. In order to achieve low cost and flexible energy flow modes, a low cost tri-port converter is proposed in this paper to coordinate the PV panel, SRM and battery. The FLC performs a PI-like control strategy, giving the current reference variation based on speed error and its change. And FLC is used for improving the speed response. The performance of the drive system was evaluated through MATLAB/SIMULINK software.

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