Title :
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
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;
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
DOI :
10.1109/APPEEC.2010.5448335