On the physical meaning of minimization criterion for Model Predictive Control

被引：0

作者：

Hazyuk, Ion ^{[1
,2
]}

Ghiaus, Christian ^{[2
]}

机构：

[1] Tech Univ Cluj Napoca, Str C Daicoviciu 15, Cluj Napoca 400020, Romania

[2] Univ Lyon, CNRS, INSA Lyon, CETHIL,UMR5008, Villeurbanne, France

来源：

PROCEEDINGS OF 2010 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS (AQTR 2010), VOLS. 1-3 | 2010年

关键词：

optimal control; cost function; energy minimization; weighting factors tuning;

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：

The present work is aimed to investigate the minimization criterion used in Model Predictive Control (MPC). The paper shows that minimization of currently used objective function in MPC does not minimize the consumed energy in the case of true bond graph models of the systems. Thus, it is proposed to use another criterion which removes this drawback. A consequence of this change is that the algorithm does not cancel the steady-state error of the system. Therefore a cancelation of the offset error by tuning the weighting coefficients is proposed.

引用

页数：6

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