Fuzzy Logic and Metaheuristic Methods in Power Electronics

Summary

This chapter examines how power electronics can use fuzzy logic and metaheuristic algorithms, two types of Artificial Intelligence (AI) techniques, to improve system design, save costs, and increase efficiency. As metaheuristic techniques like Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) optimize design parameters and control strategies, fuzzy logic, with its rule‐based adaptability, is used in converter control, fault detection, and energy management. Performance and robustness are further enhanced by hybrid approaches that combine these techniques. To demonstrate the usefulness of these cutting‐edge methods in power electronics systems, a few case studies are examined.