A fast algorithm for self-optimizing control of nonlinear plants

被引：0
|
作者：
Ye L.-J. [1 ,2 ]
机构：
[1] Ningbo Institute of Technology, Zhejiang University, Ningbo, 315100, Zhejiang
[2] Department of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, Zhejiang
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2016年 / 33卷 / 01期
关键词：
Chemical process; Controlled variables; Nonlinear process; Self-optimizing control;
D O I：
10.7641/CTA.2016.50175
中图分类号：
学科分类号：
摘要：
We investigate the self-optimizing control (SOC) problem for nonlinear processes and propose a fast algorithm for solving controlled variables (CVs). Being different from those linear SOC methods, the proposed one minimizes the global average loss based on the rigorous nonlinear model. To quickly solve the derived non-convex linear programming (LP) problem, simplifications are introduced to the problem. Properties of the CV solution space are discussed to illustrate the rationality of introducing the orthogonal unitary constraint. On this basis, the analytical solution of suboptimal CVs is obtained in a further step. The developed methodology is applied to a numerical example and an evaporator process, where the simplicity and effectiveness of the proposed algorithm are demonstrated. © 2016, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
引用
收藏
页码：40 / 46
页数：6
相关论文
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