An Optimal Design of PID controller for DC-DC Zeta converter using Particle Swarm Optimization

This paper represents the idea of implementing the Particle Swarm Optimization (PSO) algorithm in designing an optimized PID controller to investigate the stability and improve the performance of the closed-loop Zeta converter. This metaheuristic optimization algorithm is influenced by swarm-based intelligence and has been increasingly utilized to design and optimize power converters in current times. The closed-loop transfer function of the Zeta converter has been developed by the State Space Averaging (SSA) technique. This paper assesses both the cases of converter stability when it is integrated with the conventional PID controller and the PSO-PID controller and eventually compares the outcomes from both the controllers. For examining the stability of the system, three objective functions (IAE, ITAE, and ISE) and various performance specifications such as percentage of overshoot, rise time, settling time, and peak amplitude are tabulated. MATLAB is used to carry out the simulation meticulously. A comparative analysis is illustrated to state a clear-sighted evaluation of the performances.