By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ouarti, H. ; Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712 ; Edgar, T.F.

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.

Published in:

American Control Conference, 1993

Date of Conference:

2-4 June 1993