Intelligent control of a brushless doubly-fed induction generator

被引：0
作者：
Zoheir Tir
Om P. Malik
Mohammad Naser Hashemnia
机构：
[1] University of El Oued,LEVRES Laboratory
[2] University of Calgary,Department of Electrical and Computer Engineering
[3] Mashhad Branch,Department of Engineering
[4] Islamic Azad University,undefined
来源：
International Journal of System Assurance Engineering and Management | 2019年 / 10卷
关键词：
Brushless doubly fed induction generator; Fuzzy PID controller; Power flow; Wind energy system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Brushless doubly-fed induction generator (BDFIG) has drawn significant attention in recent years in variable speed drive applications due to such features as simple and robust construction, favorable operating characteristics and reduced maintenance. The objective of BDFIG control is to achieve better performance compared to the doubly fed induction generator using the well-established vector control method. Control of a BDFIG with back-to-back PWM converters using an artificial intelligence approach, fuzzy PID controller, is proposed for a BDFIG-based variable speed wind energy conversion system. The proposed controller is adaptive in the manner that the controller parameters are modified online by using the fuzzy control rules. Comparative performance of the BDFIG with the proposed fuzzy PID controller and the conventional fixed-parameters PID controller under various operating speeds, stator reactive power references and a 100% voltage dip is investigated. Results of simulation studies using MATLAB® reported in the paper show that the limitations of the conventional PID controller can have negative effects on both quality and quantity of the generated power. Performance of the system can be improved with the proposed adaptive fuzzy PID controller under dynamic conditions.
引用
收藏
页码：326 / 338
页数：12
相关论文
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