Skip to main content

Intelligent Predictive Control of Micro Heat Exchanger

  • Conference paper
Neural Nets (WIRN 2005, NAIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3931))

  • 851 Accesses

Abstract

An intelligent predictive control to temperature control of a micro heat exchanger is addressed. First, the dynamics of the micro heat exchanger is identified using a locally linear model. Then, the predictive control strategy based on this model of the plant is applied to provide set point tracking of the output of the plant.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

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

    Google Scholar 

  2. Garcia, C.E., Prett, D.M., Morari, M.: Model predictive control: theory and practice- a survey. Automatica 25(3), 335–348 (1989)

    Article  MATH  Google Scholar 

  3. Badgwell, A.B., Qin, S.J.: Review of nonlinear model predictive control applications. In: Kouvaritakis, B., Cannon, M. (eds.) Nonlinear predictive control theory and practice. IEE Control Series, pp. 3–32 (2001)

    Google Scholar 

  4. Parker, R.S., Gatzke, E.P., Mahadevan, R., Meadows, E.S., Doyle, F.J.: Nonlinear model predictive control: issues and applications. In: Kouvaritakis, B., Cannon, M. (eds.) Nonlinear predictive control theory and practice. IEE Control Series, pp. 34–57 (2001)

    Google Scholar 

  5. Babuska, R., Botto, M.A., Costa, J.S.D., Verbruggen, H.B.: Neural and fuzzy modeling on nonlinear predictive control, a comparison study. Computatioinal Engineering in Systems Science (July 1996)

    Google Scholar 

  6. Nelles, O.: Nonlinear system identification: from classical approach to neuro-fuzzy identification. Springer, Heidelberg (2001)

    Book  MATH  Google Scholar 

  7. Narendra, K.S., Parthasarathy, K.: Identification and control of dynamic systems using neural networks. IEEE Transactions on Neural Networks 1, 4–27 (1990)

    Article  Google Scholar 

  8. Jalili-Kharaajoo, M., Araabi, B.N.: Neural network control of a heat exchanger pilot plant. To appear in IU Journal of Electrical and Electronics Engineering (2004)

    Google Scholar 

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

    Google Scholar 

  10. Stief, T., Langer, O.U., Schuber, K.: Numerical investigations on optimal heat conductivity in micro heat exchangers. In: Irven, R (Hrsg.) Micro reaction Technology: 4th International Conference, AIChE Spring Nat. Meeting, Atlanta, Ga., March 5-9 (2000)

    Google Scholar 

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

    Book  MATH  Google Scholar 

  12. Nelles, O.: Local linear model tree for on-line identification of time variant nonlinear dynamic systems. In: Vorbrüggen, J.C., von Seelen, W., Sendhoff, B. (eds.) ICANN 1996, vol. 1112. Springer, Heidelberg (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Galily, M., Roudsari, F.H., Fardis, M., Yazdian, A. (2006). Intelligent Predictive Control of Micro Heat Exchanger. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds) Neural Nets. WIRN NAIS 2005 2005. Lecture Notes in Computer Science, vol 3931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11731177_13

Download citation

  • DOI: https://doi.org/10.1007/11731177_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33183-4

  • Online ISBN: 978-3-540-33184-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics