NDLI: The Use of Approximate Models and Exact Linearization for Control of Nonlinear Processes

Content Provider	IEEE Xplore Digital Library
Author	Ouarti, H. Edgar, T. F.
Copyright Year	1993
Description	Author affiliation: Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712 (Ouarti, H.; Edgar, T. F.)
Abstract	Nonlinear control techniques such as global linearization can be advantageous, especially when process characteristics vary with the operating point. Differential geometric control techniques exactly linearize nonlinear systems so that linear feedback control can be applied. However, this requires that a nonlinear model of the process be available. This paper focuses on developing an empirical input-linear model for nonlinear processes by approximating transformations. As a simplification, we assume that process nonlinearities are essentially imbedded in the steady state relationships and steady-state input-output gains can be fitted by algebraic equations. This type of model can be linearized exactly using input-output transformations, leading to a simple control law based on linear system theory. Three linearization methods are proposed in this paper and compared to the previously developed Hammerstein and Wiener series compensation techniques, using a simulation model of a heat exchanger.
Starting Page	2268
Ending Page	2273
File Size	451843
Page Count	6
File Format	PDF
ISBN	0780308603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-06-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Process control Nonlinear control systems Steady-state Linear feedback control systems Control nonlinearities Solid modeling Chemical processes Nonlinear systems Feedback control Linear systems
Content Type	Text
Resource Type	Article

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