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A comparative study on applications of artificial intelligence-based multiple models predictive control schemes to a class of industrial complicated systems

A comparative study on applications of artificial intelligence-based multiple models predictive... The purpose of the present research is to demonstrate a comparative study on applications of artificial intelligence-based multiple models predictive control schemes, which are considered in a number of referenced materials. These control schemes are to implement on a class of industrial complicated systems, as long as the traditional related cases are not to guarantee the desired tracking performance, efficiently. In reality, the research proposed here, in its present form, outlines the achieved results of the control schemes, which are all organized based on both the multiple models strategy and the linear model based predictive control approach, as well. In one such case, the outcomes are focused on an industrial tubular heat exchanger system, which has so many applicabilities in real and academic environments. The traditional schemes are almost implemented on the system to control the outlet temperature of the inner tube by either the temperature or the flow of the fluid flowing, concurrently, through the shell tube. In some situations, the appropriate control scheme realization is not possible, due to the fact that the whole of system coefficients variation cannot quite be covered by the control action. In case of the matter presented, the techniques need to be organized, which the tracking performance both in the system coefficients and also in the desired set point variations could acceptably be guaranteed. Hereinafter, the performance mentioned and also the weight of realization of each one of the proposed control schemes have been surveyed, while all of them are presented in shortened version and therefore their details are not thoroughly given here. In such a case, some schemes are now available in the corresponding research, that are fully referenced, in the present investigation. In agreement with the acquired results, the validity of the control schemes are tangibly verified and also compared with respect to each other. Consequently, the finalized control schemes are suggested, where the advantages and its disadvantages of each one of them over the system are accurately investigated in line with the related reasons. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Energy Systems Springer Journals

A comparative study on applications of artificial intelligence-based multiple models predictive control schemes to a class of industrial complicated systems

Mazinan, A.; Khalaji, A.
Energy Systems , Volume 7 (2) – Jun 20, 2015
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References (35)

Publisher
Springer Journals
Copyright
Copyright © 2015 by Springer-Verlag Berlin Heidelberg
Subject
Engineering; Energy Economics; Operation Research/Decision Theory; Optimization; Energy Systems
ISSN
1868-3967
eISSN
1868-3975
DOI
10.1007/s12667-015-0155-7
Publisher site
See Article on Publisher Site

Abstract

The purpose of the present research is to demonstrate a comparative study on applications of artificial intelligence-based multiple models predictive control schemes, which are considered in a number of referenced materials. These control schemes are to implement on a class of industrial complicated systems, as long as the traditional related cases are not to guarantee the desired tracking performance, efficiently. In reality, the research proposed here, in its present form, outlines the achieved results of the control schemes, which are all organized based on both the multiple models strategy and the linear model based predictive control approach, as well. In one such case, the outcomes are focused on an industrial tubular heat exchanger system, which has so many applicabilities in real and academic environments. The traditional schemes are almost implemented on the system to control the outlet temperature of the inner tube by either the temperature or the flow of the fluid flowing, concurrently, through the shell tube. In some situations, the appropriate control scheme realization is not possible, due to the fact that the whole of system coefficients variation cannot quite be covered by the control action. In case of the matter presented, the techniques need to be organized, which the tracking performance both in the system coefficients and also in the desired set point variations could acceptably be guaranteed. Hereinafter, the performance mentioned and also the weight of realization of each one of the proposed control schemes have been surveyed, while all of them are presented in shortened version and therefore their details are not thoroughly given here. In such a case, some schemes are now available in the corresponding research, that are fully referenced, in the present investigation. In agreement with the acquired results, the validity of the control schemes are tangibly verified and also compared with respect to each other. Consequently, the finalized control schemes are suggested, where the advantages and its disadvantages of each one of them over the system are accurately investigated in line with the related reasons.

Journal

Energy Systems – Springer Journals

Published: Jun 20, 2015

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