Enhanced Speed Control of Hybrid Energy Source-Based Switched Reluctance Motor Employing PSO-Tuned PI Controller

This paper presents an efficient speed control strategy for a Switched Reluctance Motor (SRM) powered by a hybrid energy system consisting of photovoltaic (PV) panels and a battery storage unit. The proposed control methodology employs a Proportional-Integral (PI) controller optimized using the Particle Swarm Optimization (PSO) algorithm. The PSO-based PI controller ensures precise speed regulation under varying speed demands. The effectiveness of the system is evaluated through simulation results, demonstrating smooth speed tracking for dynamic speed variations from 1000 rpm to 1500 rpm, then back to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{1 0 0 0 ~ r p m}$</tex>, and finally to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{5 0 0 ~ r p m}$</tex>. The results validate the robustness and adaptability of the proposed control strategy in maintaining desired speed profiles while efficiently managing energy from hybrid sources.