文章基本信息

标题：Frequency Spectrum Customization and Optimization by Using Monte Carlo Method for Random Space Vector Pulse Width Modulation Strategy
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作者：Guoqiang Chen ; Jianli Kang
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：12
页码：135
出版社：SERSC
摘要：The spectrum of the random space vector pulse width modulation (SVPWM) strategy is extremely complicated due to the random variable. A new algorithm based on the Monte Carlo method is proposed to optimize and customize the frequency spectrum of the random SVPWM strategy. Auniversal theoretical spectrum computation method is givenfor the SVPWM strategy firstly. In addition, the key procedure of the proposed algorithm is presented. Finally, several computation examples are provided to verify the effectiveness and feasibility. The analysis and computation examples show that the proposed algorithm has several advantages, and the results verify its convenience and feasibility.
关键词：S;pace vector pulse width modulation; Monte;Carlo; ;M;aximum harmonic ;amplitude; ;R;andom variable