Modeling and Analysis of Speed Control of WRIM by Static Chopper Rotor Resistance Control Using PID, Fuzzy Logic and Particle Swarm Optimization

Abstract

The use of smart controllers to regulate electric drive systems has greatly improved due to recent advancements in advanced control systems engineering. This study examines how the static chopper rotor resistance control (SCRRC) system can improve the performance of different components of wound rotor induction motors (WRIM) using traditional proportional-integral-derivative (PID) controllers, fuzzy logic controllers (FLC), and PID-Particle Swarm Optimization (PID-PSO) for various speed control schemes. The model is based on the SCRRC system's derivation of the WRIM transfer function.  Rise time, peak time, settling time, and steady state error are the simulation findings obtained after the designed controller was put into practice. Overall, the simulation results showed that the PID-PSO outperformed the FLC and conventional PID controller in terms of enhancing system performance and reaching the motor's rated and desired speed.