Optimal Tuning of Fractional Order PID Controller with Metaheuristic Algorithms for High Efficiency High Gain DC-DC Boost Converter

This paper discusses the design and control of a high-efficiency and high-gain DC-DC Boost Converter which is used for power conditioning between Photovoltaic cells and load. DC-DC converter offers limited gain, and their efficiency decreases with an increasing gain due to very high duty cycles, which causes high voltage stress on switches. By using a coupled inductor and a clamped circuit, higher gains are achieved without loss in efficiency. A fractional-order PID (FOPID) controller is suggested for maintaining the constant voltage at the load end. A FOPID controller has advantages over a PID controller and offers better performance. For tuning the FOPID controller, different optimization algorithms have been used. Integrated Time Weighted Absolute Error (ITAE) of the system has been taken as performance criteria and has been minimized by optimization algorithms to obtain parameter values for the FOPID controller. Namely, four different algorithms have been used, i.e., Genetic Algorithm (GA), Particle Swarm optimization Algorithm (PSO), Whale optimization Algorithm (WOA), and Grey Wolf optimization Algorithm (GWO). MATLAB Simulink has been used for design and simulation of the boost converter and controller, and the results obtained for the FOPID controller by different optimization algorithms along with a PID controller have been compared and discussed.