DocumentCode :
939773
Title :
Lyapunov-based optimizing control of nonlinear blending processes
Author :
Johansen, Tor A. ; Sbárbaro, Daniel
Author_Institution :
Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
Volume :
13
Issue :
4
fYear :
2005
fDate :
7/1/2005 12:00:00 AM
Firstpage :
631
Lastpage :
638
Abstract :
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.
Keywords :
Lyapunov methods; blending; nonlinear control systems; observers; optimal control; optimisation; process control; Lyapunov-based optimizing control; bias estimation; linear dynamics; linear quadratic feedback law; nonlinear blending processes; nonlinear observers; state estimation; static nonlinearity; Feeds; Food industry; Laboratories; Linear feedback control systems; Lyapunov method; Observers; Process control; Raw materials; State estimation; Steady-state; Control Lyapunov functions (CLFs); Wiener models; nonlinear observers; optimization; process control;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2004.841676
Filename :
1453575
Link To Document :
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