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	GA-PSO approach for optimising space-vector PWM control sequence
	Ning, Y; Dai, YX; Peng, ZS
刊名	IET POWER ELECTRONICS
	2019
卷号	Vol.12 No.4页码:955-965
关键词	PWM invertors harmonic distortion genetic algorithms particle swarm optimisation reliability three-phase inverter genetic algorithm-particle swarm optimisation discrete PSO global optimisation ability local optimisation ability optimal SVPWM control sequence GA-PSO approach space-vector PWM control sequence space-vector pulse width modulation immune algorithm classical probabilistic optimisation algorithms
ISSN号	1755-4535
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4733815
专题	湖南大学
作者单位	1.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China 2.Wenzhou Univ, Coll Phys & Elect Informat Engn, Wenzhou 325035, Peoples R China
推荐引用方式 GB/T 7714	Ning, Y,Dai, YX,Peng, ZS. GA-PSO approach for optimising space-vector PWM control sequence[J]. IET POWER ELECTRONICS,2019,Vol.12 No.4:955-965.
APA	Ning, Y,Dai, YX,&Peng, ZS.(2019).GA-PSO approach for optimising space-vector PWM control sequence.IET POWER ELECTRONICS,Vol.12 No.4,955-965.
MLA	Ning, Y,et al."GA-PSO approach for optimising space-vector PWM control sequence".IET POWER ELECTRONICS Vol.12 No.4(2019):955-965.

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