Composite model predictive control for the boost converter and two-phase interleaved boost converter

被引:1
|
作者
Samad, Muhammad Adnan [1 ]
Xia, Yuanqing [1 ]
Manzoor, Tayyab [2 ]
Mehmood, Kashif [3 ]
Saleem, Adeel [3 ]
Milyani, Ahmad H. H. [4 ]
Azhari, Abdullah Ahmed [5 ]
机构
[1] Beijing Inst Technol, Sch Automat, Key Lab Intelligent Control & Decis Complex Syst, Beijing, Peoples R China
[2] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou, Peoples R China
[3] Fergana Polytech Inst, Dept Elect Engn, Fergana, Uzbekistan
[4] King Abdulaziz Univ, Ctr Res Excellence Renewable Energy & Power Syst, Dept Elect & Comp Engn, Jeddah, Saudi Arabia
[5] King Abdulaziz Univ, Appl Coll, Jeddah, Saudi Arabia
基金
中国国家自然科学基金;
关键词
boost converter; interleaved boost converter; model predictive control (MPC); active disturbance rejection control (ADRC); MPADRC; DISTURBANCE REJECTION CONTROL;
D O I
10.3389/fenrg.2022.1009812
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This article compares the conventional model predictive control (MPC) and active disturbance rejection control (ADRC) with a novel MPADRC technique for controlling a non-minimum phase behavior in the DC-DC boost converter. The control of the boost converter is challenging as it is nonlinear, and it shows non-minimum phase behavior in a continuous conduction mode (CCM). Moreover, in this article, the comparison is presented for the boost converter and the two-phase interleaved boost converter using MPC and ADRC, and the effectiveness of the interleaving technique is shown. Finally, it is proved that the interleaving method has much more efficiency and less output ripple than the simple boost converter. To conclude, a novel technique has been introduced that combines both the techniques, that is, MPC and ADRC, in the outer and inner loop with a boost converter, respectively, and the response is clearly the best when compared to the said techniques individually. The overall impact of this technique includes the advantages of both the techniques, that is, the use of MPC allows us to optimize the current value by predicting the future values, and the use of ADRC ensures that the disturbance factor is well tackled and cancels the effect caused by all the disturbances including ignored quantities as well.
引用
收藏
页数:11
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