A Comparison Between PID-PSO and Fuzzy-PID Controllers for Controlling a DC Motor Fed with a Buck-Boost Converter with Continuous Input Current and Semi-Quadratic Voltage Gain

This paper compares DC motor speed control using a Proportional Integral Derivative (PID) controller optimized by a Particle Swarm Optimization (PSO) algorithm and a fuzzy-PID controller. A new buck-boost DC-DC converter with characteristics including continuous low-ripple input current, reduced voltage stress on switches, and semi-quadratic voltage gain supplies the motor. The structure of this converter can enhance system efficiency and minimize power switch losses. Simulation results indicate that the fuzzy-PID controller achieves shorter settling time, lower overshoot, and improved motor speed stability compared to the PID-PSO controller. However, the PID-PSO controller provides a faster response time than the fuzzy-PID controller. Moreover, the fuzzy-PID controller, combining fuzzy logic rules with a PID controller, exhibits better adaptability to sudden system torque changes and uncertainties, thus providing stability enhancement.