Title :
Optimization of SMC parameters using PSO in a Full-Bridge DC-DC converter with inductive load
Author :
Dehdarinejad, M. ; Abyaneh, H. Askarian ; Razavi, Farzad ; Hosseini, S.A.
Abstract :
One of the most significant current studies in DG applications is controlled DC-DC converters. The aim of this paper is to assess the converter performance in the presence of inductive load. It is given an account of and the solution for the drawbacks of using DG resources with inductive load. The purpose of the current study is undertaken to simulate a Phase-shifted Full-Bridge (PSFB) implementing Sliding Mode Control (SMC) with inductive load and evaluate its performance in both tracking a reference current and in system speed. SMC is employed because of its robustness and ability to perform with system uncertainties. Moreover, SMC parameters were optimized using PSO algorithm in order to enhance significantly tracking capability especially in accuracy and speed. A thorough scenario is investigated to show the entire system performance. The results clearly reveal the robustness of the proposed method.
Keywords :
DC-DC power convertors; distributed power generation; particle swarm optimisation; variable structure systems; DG resources; PSFB; PSO algorithm; SMC; SMC parameter optimization; distributed generation; full-bridge DC-DC converter; inductive load; particle swarm optimization; phase-shifted full-bridge simulation; reference current tracking; sliding mode control; system speed; Bridge circuits; Capacitance; Inductors; Mathematical model; Topology; Uncertainty; Zero voltage switching; Full-Bridge Converter; Inductive Load; PSO; Sliding Mode Controller;
Conference_Titel :
Smart Energy Grid Engineering (SEGE), 2013 IEEE International Conference on
Conference_Location :
Oshawa, ON
Print_ISBN :
978-1-4799-2774-6
DOI :
10.1109/SEGE.2013.6707925