Multi objective bacterial foraging optimization algorithm for power factor correction using interleaved DC-DC SEPIC converter

Abstract

Power Factor Correction (PFC) is inherently required in Switched Mode Power Supplies (SMPS) to correct the poor power factor caused by nonlinearities introduced by the switching devices. This paper proposes Bacterial Foraging Optimization (BFO) algorithm to obtain the optimal Proportional Integral (PI) controller parameters for Interleaved DC-DC Single Ended Primary Inductance Converter (SEPIC) based Power Factor Correction (PFC). In this paper, conventional PI controller parameters are obtained using frequency domain approach. In order to improve the dynamic performance in terms of minimum rise time, minimum settling time, minimum peak overshoot, minimum % Total Harmonic Distortion (THD), maximum % efficiency, and power factor close to unity, BFO algorithm with weights attached for various error criterion such as Integral Square Error (ISE), Integral Absolute Error (IAE), Integral Time Square Error (ITSE) and Integral Time Absolute Error (ITAE) is used as weighted sum multi objective fitness function to find the best optimal PI controller parameters for Interleaved DC-DC SEPIC PFC converter. Simulation results using Matlab/ Simulink software illustrate the reduction in overshoot, settling time, rise time, %THD, increase in % efficiency and power factor close to unity for multi objective BFO based PI controller over conventional PI controller. The proposed scheme can also produce an improved dynamic performance for variation in load, line and reference voltage.