Adolfo R. Lopez, José M. Sosa, Cristian Sámano, S. D. De Léon-Aldaco, Jesús Aguayo-Alquicira, O. López-Santos
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引用次数: 0
Abstract
A critical reduction in the total harmonic distortion in the output voltage of multilevel inverters can be obtained with an appropriate selection of the angles to switch the power semiconductors at low frequency. Among the methods used to obtain the required sequence of angles, it is possible to recognize both standard and optimized methods, like the Newton–Raphson method or the genetic algorithm, to mention a few. However, implementing the genetic algorithm implies using several configuration parameters, so it is difficult to know if the best option was chosen. This paper implements the Taguchi design of experiments, the Taguchi method, to obtain the appropriate switching angles for an multilevel inverter producing an output voltage of five and seven levels. Experimental results obtained from a laboratory prototype using the computed angles in the MATLAB GA solver demonstrate the superiority of the proposed method.
通过适当选择低频功率半导体开关的角度，可以显著降低多电平逆变器输出电压的总谐波失真。在用于获得所需角度序列的方法中，既有标准方法，也有优化方法，如牛顿-拉夫逊法或遗传算法等。然而，采用遗传算法需要使用多个配置参数，因此很难知道是否选择了最佳方案。本文采用田口实验设计法（Taguchi method），为产生五级和七级输出电压的多电平逆变器获得合适的开关角度。使用 MATLAB GA 求解器计算出的角度，从实验室原型机获得的实验结果证明了所提方法的优越性。
期刊介绍：
Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: *manuscripts regarding research proposals and research ideas will be particularly welcomed *electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material Subject Areas: applications of automation, systems and control engineering, electronic engineering, mechanical engineering, computer engineering, mechatronics, robotics, industrial design, human-machine-interfaces, mechanical systems, machines and related components, machine vision, history of technology and industrial revolution, turbo machinery, machine diagnostics and prognostics (condition monitoring), machine design.
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