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Electrical Engineering and Automation (Biquarterly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of electrical theory and automation on the combination of electrical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest power electronics theoretical and technical research improvement in the fields of nature science, engin... [More] Electrical Engineering and Automation (Biquarterly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of electrical theory and automation on the combination of electrical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest power electronics theoretical and technical research improvement in the fields of nature science, engineering technology, economy and science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of electrical theory development for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and foster the rapid expansion of electrical theory and automation application technology.

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ISSN Online:2326-8778

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Paper Infomation

Research on Three-Phase Inverters Control System by Differential Evolution Optimization

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Author: Huan Wang, Yuxing Dai

Abstract: In order to improve the effective and efficient of double closed-loop PI controller and reduce the total harmonic distortion (THD) of output voltage waveform, this paper presents a novel double closed-loop PI controller design method for a three-phase inverter based on the differential evolution (DE) algorithm. The basic idea behind the proposed method is firstly formulating the design problem of double close-loop PI controller for a three-phase inverter as a typical constrained optimization problem, where the THD and the integral of time weighted absolute error of output voltage waveform are weighed as the optimization objective function. After that, a DE algorithm is designed to solve this formulated problem. At last, the superiority of the proposed method to Z-N empirical method, genetic algorithm, particle swarm optimization is demonstrated by simulation and experimental results on a 6kW three-phase inverter including nominal condition and variable loads conditions.

Keywords: Three-phase Inverter, Differential Evolution, Double Closed-loop Controller

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