Li, Y. and Kashiwagi, H. (2005) High-order volterra model predictive control and its application to a nonlinear polymerisation process. International Journal of Automation and Computing, 2(2), pp. 208-214. (doi: 10.1007/s11633-005-0208-9)
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IJAC_volterra_12-0502-012.pdf 909kB |
Publisher's URL: http://dx.doi.org/10.1007/s11633-005-0208-9
Abstract
Model Predictive Control (MPC) has recently found wide acceptance in the process industry, but the existing design and implementation methods are restricted to linear process models. A chemical process involves, however, severe nonlinearity which cannot be ignored in practice. This paper aims to solve this nonlinear control problem by extending MPC to nonlinear models. It develops an analytical framework for nonlinear model predictive control (NMPC), and also offers a third-order Volterra series based nonparametric nonlinear modelling technique for NMPC design which relieves practising engineers from the need for first deriving a physical-principles based model. An on-line realisation technique for implementing the NMPC is also developed. The NMPC is then applied to a Mitsubishi Chemicals polymerisation reaction process. The results show that this nonlinear MPC technique is feasible and very effective. It considerably outperforms linear and low-order Volterra model based methods. The advantages of the approach developed lie not only in control performance superior to existing NMPC methods, but also in relieving practising engineers from the need for deriving an analytical model and then converting it to a Volterra model through which the model can only be obtained up to the second order.
Item Type: | Articles |
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Keywords: | Model predictive control, volterra series, process control, nonlinear control. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Li, Professor Yun |
Authors: | Li, Y., and Kashiwagi, H. |
Subjects: | T Technology > T Technology (General) |
College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
Research Group: | Centre for Systems and Control |
Journal Name: | International Journal of Automation and Computing |
Publisher: | Springer |
ISSN: | 1476-8186 |
Copyright Holders: | Copyright © 2005 Springer |
First Published: | First published in International Journal of Automation and Computing 2(2):208-214 |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher. |
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