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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Local Model Networks For Modelling And
Predictive Control Of Nonlinear Systems |
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Authors: |
Jakub Novak, Petr Chalupa,
Vladimir Bobal |
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Published in:
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(2009).ECMS
2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel
Pedrera. European Council for Modeling and
Simulation. doi:10.7148/2009 ISBN: 978-0-9553018-8-9 23rd
European Conference on Modelling and Simulation, Madrid, June
9-12, 2009 |
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Citation
format: |
Novak, J., Chalupa,
P., & Bobal, V. (2009). Local Model Networks
For Modelling And Predictive Control Of Nonlinear
Systems. ECMS 2009 Proceedings edited by J. Otamendi,
A. Bargiela, J. L. Montes, L. M. Doncel Pedrera (pp.
557-562). European Council for Modeling and Simulation. doi:10.7148/2009-0557-0562 |
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DOI: |
http://dx.doi.org/10.7148/2009-0557-0562 |
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Abstract: |
The paper deals with the problem
of modelling and control using the Local Model
Network (LMN). The idea is based on development of multiple local models for
the whole operating range of the controlled process. The local models are
then smoothly connected using the validity or weighting functions to provide
a nonlinear global model of the plant. For saving the computational load,
linear model is obtained by interpolating the parameters of local models at
each sample instant and then used in Model Predictive Control (MPC) framework
to calculate the future behaviour of the process.
The supervisory program, based on a nonlinear global model, computes desired
values of manipulated variables leading to minimum utility consumption. The
approach is verified in a control of model of a heat exchanger. |
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