NDLI: Nonlinear Model Predictive Control of Chemical Processes with a Wiener Identification Approach

Content Provider	IEEE Xplore Digital Library
Author	Arefi, M.M. Montazeri, A. Poshtan, J. Jahed-Motlagh, M.R.
Copyright Year	2006
Description	Author affiliation: Iran Univ. of Sci. & Technol., Tehran (Arefi, M.M.; Montazeri, A.; Poshtan, J.)
Abstract	Some chemical plants such as pH neutralization process have highly nonlinear behavior. Such processes demand a powerful Wiener identification approach based on neural networks for identification of the nonlinear part. In this paper, the pH neutralization process is identified with NN-based Wiener identification method and two linear and nonlinear model predictive controllers with the ability of rejecting slowly varying unmeasured disturbances are applied. Simulation results show that the obtained Wiener model has good capability to predict the step response of the process. Parameters of both linear and nonlinear model predictive controllers are tuned and the best obtained results are compared. For this purpose, different operating points are selected to have a wide range of operation for the nonlinear process. Simulation results show that the nonlinear controller has better performance without any overshoot in comparison with linear MPC and also less steady-state error in tracking the set-points.
Starting Page	1735
Ending Page	1740
File Size	2205733
Page Count	6
File Format	PDF
ISBN	1424407257
DOI	10.1109/ICIT.2006.372470
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Predictive control Chemical processes Neural networks Continuous-stirred tank reactor Open loop systems Chemical technology Manufacturing processes Optimization methods Java
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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