Performance analysis of buck converter with fractional PID controller using hybrid technique

Abstract

In this paper, a hybrid technique is proposed for analyzing the performance of buck converters with fractional-order proportional integral derivative (FOPID) controllers. The hybrid approach is a combination of Capuchin Search Algorithm (CapSA) and Golden Jackal Optimization (GJO). The update behavior of Golden Jackal Optimization2 is enhanced with Capuchin Search Algorithm (CapSA) therefore it is called the improved GJO (IGJO) technique. The power converters are hard to manage based on their nonlinear nature and therefore the search for smart and effectual controllers is ongoing and continual. In current years, fractional order controllers have shown greater efficiency in power electronic systems. The IGJO technique is used to establish the optimum design of a fractional-order proportional integral derivative (PID) controller for the buck converter. The FOPID controller parameters are considered to diminish several performance metrics, with a particular focus on the Integral Squared Error (ISE). The proposed method is performed in the MATLAB, and its execution is analyzed by using the existing methods. From the simulation result, the proposed method reduces the error more effectively than existing methods.