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首页> 外文期刊>Journal of experimental and theoretical artificial intelligence (Online) >Harmonics elimination in multilevel inverter with unequal DC sources by fuzzy-ABC algorithm
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Harmonics elimination in multilevel inverter with unequal DC sources by fuzzy-ABC algorithm

机译：模糊ABC算法消除不等直流源多电平逆变器的谐波。

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摘要

The harmonious appearance in multilevel inverter output voltage is more for the case of unequal DC sources. In this paper, a hybrid technique incorporating fuzzy inference system (FIS) and artificial bee's colony (ABC) algorithm is proposed. FIS is a rule-based artificial intelligent technique which is used for generating the data set in terms of switching angle, harmonic voltage and harmonic distortion. The data set is generated as per the behaviour of the multilevel inverter without using any harmonic elimination technique. In the generated data set, the switching angle and the harmonic voltage are categorised as SMALL, MEDIUM and LARGE. Then, the ABC algorithm is used to optimise the selection of switching angles from the training data set. The performance of the proposed hybrid technique is tested on a 7-level cascade H-bridge inverter for different voltage levels of unequal DC sources using MATLAB/SIMULINK platform. The effectiveness and superiority of the proposed technique is evaluated by comparing the reduction capacity of total harmonic distortion for different voltage levels of unequal DC sources with particle swarm optimisation (PSO) algorithm and fuzzy-PSO algorithm.
机译：对于不相等的直流电源，多电平逆变器输出电压的和谐外观更为明显。提出了一种融合模糊推理系统（FIS）和人工蜂群（ABC）算法的混合技术。 FIS是基于规则的人工智能技术，用于根据开关角度，谐波电压和谐波失真生成数据集。根据多电平逆变器的行为生成数据集，而无需使用任何谐波消除技术。在生成的数据集中，开关角度和谐波电压分为小，中和大。然后，使用ABC算法来优化从训练数据集中选择切换角度。使用MATLAB / SIMULINK平台，在不等直流电源的不同电压电平的7级级联H桥逆变器上测试了所提出的混合技术的性能。通过用粒子群算法（PSO）和模糊PSO算法比较不等直流电源不同电压电平下总谐波失真的减小能力，评价了该技术的有效性和优越性。

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