Efficient Intelligent Control Techniques for DC-DC Converters: A Comparative Study

被引：0
|
作者：
Abdelrahman, Ahmed [1 ]
Eid, Mahmoud [1 ]
Ren, Jing [1 ]
Wang, Ying [1 ]
Youssef, Mohamed [1 ]
机构：
[1] Univ Ontario, Inst Technol, Elect Comp & Software Engn, Oshawa, ON, Canada
来源：
2016 18TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'16 ECCE EUROPE) | 2016年
关键词：
Fuzzy logic; Neural Networks; DC-DC converter; MATLAB simulink; single-phase electronics;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper describes the design of different intelligent control techniques including fuzzy logic and adaptive neuro-fuzzy inference system, using the output voltage as a feedback in order to enhance the dynamic and transient response for DC-DC converters and specifically boost converters. The implementation was achieved using MATLAB and Simulink simulation tools. Simulations were performed for different control techniques and also for the open loop system to show the merits and demerits of these techniques.
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页数：5
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