Min-max Predictive Control of a Pilot Plant using a QP Approach

被引：0

作者：

Gruber, J. K. ^{[1
]}

Ramirez, D. R. ^{[1
]}

Alamo, T. ^{[1
]}

Bordons, C. ^{[1
]}

Camacho, E. F. ^{[1
]}

机构：

[1] Univ Seville, Dept Ingn Sistemas & Automat, Escuela Super Ingenieros, Seville, Spain

来源：

47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008) | 2008年

关键词：

D O I：

10.1109/CDC.2008.4739059

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 practical implementation of Min-Max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by using approximate solutions or upper bounds of the worst possible case of the performance index. In a previous work, the authors presented a computationally efficient MMMPC control strategy in which a close approximation of the solution of the min-max problem is computed using a quadratic programming problem. In this paper, this approach is validated through its application to a pilot plant in which the temperature of a reactor is controlled. The behavior of the system and the controller are illustrated by means of experimental results.

引用

页码：3415 / 3420

页数：6

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