Lyapunov-based optimizing control of nonlinear blending processes

被引:10
|
作者
Johansen, TA [1 ]
Sbárbaro, D
机构
[1] Norwegian Univ Sci & Technol, Dept Engn Cybernet, N-7491 Trondheim, Norway
[2] Univ Concepcion, Dept Elect Engn, Concepcion, Chile
关键词
control Lyapunov functions (CLFs); nonlinear observers; optimization; process control; Wiener models;
D O I
10.1109/TCST.2004.841676
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Blending processes consisting of linear dynamics and a static nonlinearity are considered. We propose a control law that optimizes the equilibrium point of the process and regulates the output to the corresponding equilibrium state. A control Lyapunov function (CLF) is used to derive a stable optimizing update law for the equilibrium point, in combination with a linear quadratic (LQ) feedback law for tracking the optimized equilibrium point. The analysis and design also incorporates the use of an observer for state and bias estimation. Experimental results using a laboratory scale colorant blending process illustrate the efficiency of the method.
引用
收藏
页码:631 / 638
页数:8
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