Controlling the SRM Drive in Electric Vehicles (EVs) and Microgrid using Fuzzy Logic Technique

The EU's transportation emission reduction targets emphasize fuel-efficient automobiles, green fuels and power systems, and electric vehicles. Electric automobiles are reliable, safe, fuel-efficient, and green. HEV, PHEV, and EV electric drive systems depend on vehicle limits (motor size and weight, kind of vehicle, weight, payload, etc.), energy source (batteries, fuel cells, ultracapacitors), and driver demands. Due to expectations and possibilities, the electric power train must work like cars. A good and effective corporate VSD has always been hard to find in terms of operation and appearance. Only DC and induction motors were used. Comparatively SRM is simple, durable, and inexpensive, making it ideal for VSD applications. Building an electric drive system requires motor movement knowledge. Understand how power electronic converters create force and speed in electric motors. This thesis investigates SRM control in driving and generating modes with distinct goals. Controlling the SRM position demands consistent output force. Maintain DC bus voltage and maximize its use to generate electricity. This means a perfect machine model is needed for consistency. Only the stator of SRM has motor windings. SRM rotors lack wires and magnets, making them distinctive. The machine side is limited by technical ease. Unlike typical machines, SRMs need automatic communication switches to run on DC buses or AC lines. Machine resistive torque requires double stator-rotor saliency. This boosts non-linear magnetic properties. This makes SRM harder to assess and administer. SRM in the industry has several problems. Lack of electrical technology for SRM and too much industry-accessible AC and DC equipment were the main challenges. Firms save money and improve efficiency using SRMs. SRMs are hard to manage and need a shaft position monitor to track the rotor. This makes them noisier and have more power ripple than other motors. This is easy to disregard with SRM knowledge.