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

被引：0
|
作者：
Wu Haitao [1 ]
Sun Yize [1 ]
Peng Lele [1 ]
机构：
[1] Donghua Univ, Sch Mech Engn, Shanghai 201620, Peoples R China
来源：
2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2010年
关键词：
Single-Phase Full-Bridge Inverter; Binary particle swarm optimization algorithm; multiple objective optimizations; switching loss; harmonics;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：4
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