Particle Swarm Optimization-based PID Controller Design for DC-DC Buck Converter

The performance of PID controllers depends on the appropriate choice of its control-parameters. These parameters are chosen in order to achieve a reduced transient effects such as overshoot/undershoot, settling time and steady-state errors. This paper presents a particle swarm optimization (PSO) based PID controller design for the optimal selection of the buck converter-control PID parameters: proportional (Kp), integral (Ki) and derivative (K d). In order to address the wind-up issue with PI controllers, this paper proposes the use of an anti-windup control technique with a view to achieving very good voltage regulation in the output despite of a wide range of input voltage and load variation. The performance of the proposed controller design is verified using MATLAB/Simulink. The results demonstrates the ability of the optimization algorithm in reducing the aforementioned transient and steady state errors, thereby, reducing the output voltage fluctuations despite of input and load side fluctuations.