Particle Swarm Optimization of Proportional-Integral Controller Parameters for Phase Shifted Full Bridge DC-DC Converter for Hybrid and Electric Vehicles

Abstract

Phase Shifted Full Bridge (PS-FB) DC-DC converters are widely used in hybrid and electric vehicle industry for it’s high power handling capability. Conventionally, Proportional-Integral (PI) controllers for PS-FB converters are tuned using Ziegler-Nichols or damped oscillation based approach. The lack of an accurate mathematical model leads to inefficient control results. In this paper, a design method which eliminates the need of a transfer function or a state space model to optimize the PI controller parameters of PS-FB DC-DC Converters used in hybrid and electric vehicles is presented. Particle Swarm Optimization (PSO) is developed with respect to Integral Square Error (ISE), Integral Absolute Error (IAE) and a new performance metric, Integral Absolute Error with Settling Time (IAEST) is proposed. Simulation results prove that PSO-PI controller optimized with IAEST gives better results than those with ISE and IAE.