Abstract
The DC to DC converter is a combination of reactive components and power devices, and widely used to desired current and voltage level efficiently. Consequently, this category of converters needed an accurate controller to control its static and dynamic performance. Proportional Integral Derivative controller parameters are commonly functional to the DC to DC converter due to its straightforwardness. Design of controller is identifying as an optimization method to achieve desired dynamic response with the help of several algorithms, e.g. optimization method based on bacterial foraging (called BFO) and particle Swam (called PSO), genetic algorithm (GA). The optimization method is based on judgement and relating achievable solutions until we do not get a better solution. The algorithm used for optimization can find many prime results. In this paper, the DC to DC boost converter is investigated with different optimization technique, e.g. GA, PSO, and BFO algorithms. Numerical Matrix laboratory 9.1 (R2016b) simulation results are provided, and various parameters of the controller, e.g. time taken for settle and rise the waveform, the peak is investigated from the step response curves. The response of the controller also compared in detail, and it can be concluded that BFA techniques are giving a better response when compared to another method.