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Intelligent Neurofuzzy Model Based Control of Electrically Heated Micro Heat Exchanger

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Book cover AI*IA 2005: Advances in Artificial Intelligence (AI*IA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3673))

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Abstract

An intelligent neurofuzzy model based controller is proposed for temperature control in a electrically heated micro heat exchanger. The dynamics of the plant, which shows some highly nonlinear behaviors, will be identified using a locally linear neurofuzzy model and then the predictive control will be applied to govern the dynamics of the plant. Simulation results of the proposed controller demonstrate the effectiveness of that.

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References

  1. Camacho, E.F.: Model predictive control. Springer, Heidelberg (1998)

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  3. Brander, J., Fichtner, M., Schygulla, U., Schubert, K.: Improving the efficiency of micro heat exchangers and reactors. In: Irven, R. (ed.) Micro reaction Technology: 4th International Conference; AIChE Spring Nat. Meeting, Atlanta, Ga., March 5-9 (2000)

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  4. Nelles, O.: Nonlinear system identification: From classical approaches to neural networks and fuzzy models. Springer, Heidelberg (2001)

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Author information

Authors and Affiliations

  1. Iran Telecommunication Research Center, Tehran, Iran, Ministry of Information and Communication Technology (ICT), Tehran, Iran

    F. Habibipour Roudsari, M. Khajepour & M. Galily

Authors
  1. F. Habibipour Roudsari
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  2. M. Khajepour
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  3. M. Galily
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Editor information

Editors and Affiliations

  1. Research Center on Complex Systems and Artificial Intelligence (CSAI) Department of Computer Science, Systems and Communication (DISCo), University of Milan, Bicocca viale Sarca, 336, 20126, Milan, (Italy)

    Stefania Bandini

  2. CSAI - Complex Systems & Artificial Intelligence Research Centre, University of Milano–Bicocca,  

    Sara Manzoni

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© 2005 Springer-Verlag Berlin Heidelberg

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Roudsari, F.H., Khajepour, M., Galily, M. (2005). Intelligent Neurofuzzy Model Based Control of Electrically Heated Micro Heat Exchanger. In: Bandini, S., Manzoni, S. (eds) AI*IA 2005: Advances in Artificial Intelligence. AI*IA 2005. Lecture Notes in Computer Science(), vol 3673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558590_61

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  • DOI: https://doi.org/10.1007/11558590_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29041-4

  • Online ISBN: 978-3-540-31733-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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