Online Efficiency Optimization of a Vector Controlled Self-Excited Induction Generator

Basic Mateo; Vukadinovic Dinko

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Online Efficiency Optimization of a Vector Controlled Self-Excited Induction Generator

机译：Online Efficiency Optimization of a Vector Controlled Self-Excited Induction Generator

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摘要

This paper presents a search-based approach to efficiency optimization of a vector controlled self-excited induction generator (SEIG). The main parts of the control system, besides the SEIG, are a prime mover, a three-phase power converter, and a dc load. The optimization algorithm is executed online and it relies on fuzzy logic (FL) to minimize the internal losses of the SEIG. This is done by adjusting the rotor flux reference. As opposed to existing strategies, additional effort is made to ensure stable operation of the SEIG while the optimization is put on hold and also to avoid the optimization-induced detuning. The iron losses of the SEIG are accounted for in the proposed vector control algorithm as dependent on both the operating flux and frequency. The simulation model of the control system is developed in the MATLAB/Simulink for the purpose of FL controller design, followed by experimental validation. The control algorithm is experimentally implemented using dSpace DS1104 board.

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来源
《IEEE Transactions on Energy Conversion》 |2016年第1期|373-380|共8页
作者
Basic Mateo; Vukadinovic Dinko;
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作者单位

Univ Split, Fac Elect Engn Mech Engn & Naval Architecture, Split 21000, Croatia;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类电工技术;
关键词
Energy efficiency; fuzzy control; machine vector control; magnetic losses; optimal control;

Online Efficiency Optimization of a Vector Controlled Self-Excited Induction Generator

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