Control of a pilot plant using QP based min-max predictive control

被引：11

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 41092, Spain

来源：

CONTROL ENGINEERING PRACTICE | 2009年 / 17卷 / 11期

关键词：

Min-max model predictive control; Robust control; Pilot plant; MPC; STABILITY;

D O I：

10.1016/j.conengprac.2009.06.011

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) 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. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1358 / 1366

页数：9

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