BBBC based optimization of PI controller parameters for buck converter

Abstract

The most widely used controllers in industries are PI or PID controllers. The major concern with designing of such controllers is the determination of controller parameters. An intelligent method is discussed in this paper to determine the controller parameter to control the dynamic performance of buck converter by optimizing these parameters with the big bang big crunch (BBBC) algorithm. Initially, the mathematical modeling is developed and thereafter the weighted numerical values of overshoot, peak time, rise time and settling time are summed to make a fitness function which is to be minimize for the better dynamic response. The performance of BBBC-PI controller is analyzed by settling time, rise time and overshoot of the output response. The disturbance rejection ability of optimized PI controller is verified by three cases such as step change in input voltage, output voltage and output load resistance. The closed loop operation of buck converter is simulated and verified at the MATLAB/Simulink platform.