Modelling and Model Predictive Control of a DC-DC Boost Converter

被引：0
|
作者：
Bououden, S. [1 ,2 ]
Hazil, O. [2 ]
Filali, S. [2 ]
Chadli, M. [3 ]
机构：
[1] Univ Abbes Laghrour Khenchela, Fac Sci & technology, El Hamma, Khelchela, Algeria
[2] Univ Constantine l, Lab Automat & Robot, Constantine, Algeria
[3] Univ Picardie Jules Verne, MIS EA 4029, F-80039 Amiens, France
来源：
201415TH INTERNATIONAL CONFERENCE ON SCIENCES & TECHNIQUES OF AUTOMATIC CONTROL & COMPUTER ENGINEERING (STA'2014) | 2014年
关键词：
Boost converter; averaged model; Takagi-Sugeno fuzzy model; Predictive controller;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we develop a model predictive control (MPC) approach for regulating DC-DC Boost converters. The proposed control strategy is implemented and tested using two models: an averaged non-linear model for control purposes and a switched Buck-Boost circuit model as the controlled plant. The main objective of the paper is to design a Fuzzy Predictive Control to achieve desired voltage output without increasing complexity of the hybrid model of DC-DC converter in various conditions. The proposed algorithm of fuzzy model predictive controller is done by simulation using MATLAB. Comparative analysis and results of FMPC and MPC control is observed.
引用
收藏
页码：643 / 648
页数：6
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