The use of a partially simulated exothermic reactor to test nonlinear algorithms
Document Type
Article
Publication Date
1-1-2000
Abstract
Two nonlinear control algorithms for controlling nonlinear systems include the receding horizon method and the nonlinear neural network inverse model methods. These methods have been found to be useful in dealing with difficult-to-control nonlinear systems, especially in simulated systems. However although much simulation work has been performed with these methods, simulation only is inadequate to guarantee that these algorithms could be successfully implemented in real plants. For this reason, a relatively low cost and simple online experimental configuration of a partially simulated continuous reactor has been devised which allows for the realistic testing of a wide range of nonlinear estimation and control techniques i.e. receding horizon control and neural network inverse model control methods. The results show that these methods are viable and attractive nonlinear methods for real-time application in chemical reactor systems.
Keywords
process control, nonlinear methods, receding horizon, neural network, simulated reactor, internal model control, neural networks, systems.
Divisions
fac_eng
Publication Title
Korean Journal of Chemical Engineering
Volume
17
Issue
5
Publisher
Korean Journal of Chemical Engineering
Additional Information
364FK Times Cited:0 Cited References Count:16