Design and performance analysis of classical PI and fractional order PID controllers for DC-DC boost converter

This study presents the performance analysis of PI whose parameters are designed by Ziegler-Nichols Method and PID controllers whose parameters are adjusted by Particle Swarm Optimization (PSO) for Continuous Conduction Mode (CCM) boost DA-DA converter. DC-DC boost converters are used in many power electronics applications such as electric vehicle chargers, DC motor drive, mobile device renewable energy systems and photovoltaic applications. Their high power levels, high efficiency, high power density, low cost and small size make them attractive. For this reason, DC-DC converters, which are used in many areas in current life, have always attracted attention in control studies. In this study, such a converter is considered. First of all, the linear model of the converter, which is designed for 5-15 V input voltage range and 25 V output voltage, has been obtained in accordance with its operation in continuous conduction mode. Secondly, the system model for nominal operating conditions is obtained by state space average model and small signal model approaches. Later, the controllers were designed with the Ziegler Nichols Method and Particle Swarm Optimization. PSO was carried out in two different ways with 10 and 20 particles. Then, proportional gain, integral gain, derivative gain parameters were synthesized as analog circuit with opamps. Finally, the performance analyzes of these three PI and PID controllers designed with two different methods are presented using the results of the simulation studies performed in PSIM. Mean Squared Error (MSE) was accepted as the control performance index for the studies presented. Controllers were also evaluated in terms of overshoot and settling time. The results validated that the PID controller developed with the 20-particle PSO algorithm was more successful than the others.