Design of MOSFET Based Boost Converter with PID and Genetic Algorithm Optimizer for Resistive Load

Abstract

The focus of this research is the development of a DC-DC boost converter employing a polymer-based MOSFET to ensure consistent output despite variations in Resistive (R)-load. An appropriate controller for the developed converter is designed through the application of diverse optimization techniques, aiming for straightforward implementation, improved convergence quality, and enhanced computational efficiency. The optimization of Proportional-Integral-Derivative (PID) controller parameters using various algorithms is performed to enhance the converter's dynamic response in the presence of R-load. To tune the PID controller, Genetic Algorithm optimization parameters are utilized, which enhance the efficiency while including R-load. The effectiveness is measured in overshoot, rise time, settling time and peak time. The analysis also encompassed time integral domain specifications, including Integral Square Error (ISE), Integral Absolute Error (IAE), and Integral Time Absolute Value Error (ITAE). The research modeling of this technique is done in MATLAB/SIMULINK 2018 platform by considering various performance metrices.