Binary Particle Swarm Optimization Algorithm for Control of Single-Phase Full-Bridge Inverter

Author

Wu Haitao ; Sun Yize ; Peng Lele

Author_Institution

Sch. of Mech. Eng., Donghua Univ., Shanghai, China

fYear

2010

fDate

28-31 March 2010

Firstpage

1

Lastpage

4

Abstract

Control of inverter is a complicated optimization problem. It is a difficult task to find the optimum switching law by conventional techniques. The binary particle swarm optimization algorithm (BPSO) is characterized by its speediness, accuracy, efficiency, so it is well suited for online implementation. In this paper, BPSO is applied to solve optimum switching law of inverter which is regarded as a typical combination optimization problem. Simulation results show that harmonics of output current waveform is eliminated while switching loss of inverter is reduced. Simulation results indicate that Binary particle swarm optimization algorithm is effective for the control of inverter.

Keywords

invertors; particle swarm optimisation; binary particle swarm optimization algorithm; current waveform; inverter; single-phase full-bridge inverter; Birds; Convergence; Genetic algorithms; Inverters; Marine animals; Mechanical engineering; Particle swarm optimization; Power system harmonics; Sun; Switching loss;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific

Conference_Location

Chengdu

Print_ISBN

978-1-4244-4812-8

Electronic_ISBN

978-1-4244-4813-5

Type

conf

DOI

10.1109/APPEEC.2010.5448335

Filename

5448335