Real-Time Hybrid Model Predictive Control of a Boost Converter with Constant Power Load

被引：23

作者：

Neely, Jason ^{[1
]}

Pekarek, Steve ^{[1
]}

DeCarlo, Raymond ^{[1
]}

Vaks, Nir ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

来源：

2010 TWENTY-FIFTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC) | 2010年

关键词：

STABILITY; SYSTEMS;

D O I：

10.1109/APEC.2010.5433628

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：

In this paper, a model predictive control method is implemented for improved performance of a boost converter sourcing a constant power load (CPL). The method applies results of recently developed hybrid optimal model predictive control to determine switching through real-time minimization of a user-defined performance index tailored to CPLs. In contrast to many controllers designed for boost converters, the proposed method does not utilize small-signal average value models in its development. Therefore, the controller design is not equilibrium-point specific. In addition, since the optimization is performed online, the control is more flexible than many recently proposed controllers that utilize the hybrid model to determine optimal switching strategies offline and subsequently apply utilizing a look-up table. The result is a robust, high bandwidth control that has been validated in hardware.

引用

页码：480 / 490

页数：11

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