KAGAKU KOGAKU RONBUNSHU
Online ISSN : 1349-9203
Print ISSN : 0386-216X
ISSN-L : 0386-216X
Nonlinear Modeling for Linearizing Control
Yoshihiro HashimotoTakayuki ShiinaAkihiko YoneyaYoshitaka Togari
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1996 Volume 22 Issue 5 Pages 1001-1008

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Abstract

In moving towards the production of high added value chemicals, changes in operating conditions become larger and more frequent and increases in the strength of nonlinear characteristics of the dynamics of the plant occur. In order to achieve good control, it is important to use nonlinear regulators. Linearizing control is a nonlinear control theory which can be easily understood and does not need heavy computation load for online control. However, linearizing control needs feedback of all state variables. In this paper, a structure of a set of nonlinear blackbox models is proposed. All of the state variables in the model can be expressed using inputs and outputs. The state feedback of the blackbox model can be realized using the combination of inputs and outputs. Therefore, the linearizing controller can be designed based on the blackbox model which approximates the nonlinearity of the plant. The blackbox model can express multi-steady states and changes in lag time. Simulation studies for an exothermic reactor show that the proposed black box model can approximate the nonlinear dynamics and the controller based on this model performs satisfactorily.

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© by THE SOCIETY OF CHEMICAL ENGINEERS, JAPAN
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