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Recent Developments and New Direction in Soft-Computing Foundations and Applications pp 453–467Cite as

Synthesis and Optimization of Fuzzy Controller for Thermoacoustic Plant

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 342))

Abstract

The paper is devoted to the synthesis of digital system for control of thermoacoustic plant. Based on the analysis of thermoacoustic systems, the main tasks of the synthesized system are shown. Its structure and main components are described. Using the created system, the traditional PD and fuzzy Mamdani and Sugeno controllers are implemented and compared. Best regulator is then additionally tuned using the described input terms optimization procedure. The comparative analysis of initial and optimized controllers is shown using graphs.

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References

  1. Swift, G.W.: Thermoacoustics—A Unifying Perspective for Some Engines and Refrigerators. Acoustical Society of America (2002)

    Google Scholar 

  2. Rayleigh, L.: The Theory of Sound, vol. 2, 2nd edn. Dover, NewYork (1945)

    Google Scholar 

  3. Bailliet, H., Lotton, P., Bruneau, M., Gusev, V., et al.: Acoustic power flow measurement in a thermoacoustic resonator by means of laser Doppler anemometry (L.D.A.) and microphonic measurement. Appl Acoust. 60, 1–11 (2000)

    Google Scholar 

  4. Wheatley, J.C., Swift, G.W., Migliori, A.: The natural heat engines. Los Alamos Sci. 14(2), 2–33 (1986)

    Google Scholar 

  5. Mehta, S.M., Desai, K.P., Naik, H.B., Atrey, M.D.: Design of standing wave type thermoacoustic prime mover for 300 hz operating frequency. In: Proceedings of the 16th International Cryocooler Conference, USA, pp. 343–352 (2011)

    Google Scholar 

  6. Ryan, T.S.: Design and Control of a Standing-Wave Thermoacoustic Refrigerator. University of Pittsburgh (2006)

    Google Scholar 

  7. Kondratenko, Y., Korobko, V., Korobko, O.: Distributed Computer System for Monitoring and Control of Thermoacoustic Processes. In: Proceedings of the 7th IEEE International Conference IDAACS’2013, vol. 1, pp. 249–253. Berlin, Germany, 12–14 Sept 2013

    Google Scholar 

  8. Kondratenko, Y., Korobko, V., Korobko, O.: Microprocessor system for thermoacoustic plants efficiency analysis based on a two-sensor method. Sens. Transducers 24(Special Issue), 35–42 (2013)

    Google Scholar 

  9. Biwa, T., Tashiro, Y., Nomura, H., Ueda, Y.: Experimental verification of a two-sensor acoustic intensity measurement in lossy ducts. J. Acoust. Soc. Am. 124(3), 1584–1590 (2008)

    Article  Google Scholar 

  10. Wolberg, J.: Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments. Springer (2005)

    Google Scholar 

  11. Maler, O., Pnueli, A., Sifakis, J.: On the synthesis of discrete controllers for timed systems. Lect. Notes Comput. Sci. 900, 229–242 (1995)

    Article  Google Scholar 

  12. Tanaka, K., Wang, H.O.: Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach. Wiley, New York, USA (2001)

    Book  Google Scholar 

  13. Zadeh, L., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty. Wiley, New York (1992)

    Google Scholar 

  14. Banks, W., Hayward, G.: Fuzzy Logic in Embedded Microcomputers and Control Systems. Byte Craft Limited, North Waterloo, Ontario Canada (2002)

    Google Scholar 

  15. Amador-Angulo, L., Castillo, O., Pulido, M.: Comparison of fuzzy controllers for the water tank with type-1 and type-2 fuzzy logic. In: IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint, pp. 1062–1067 (2013)

    Google Scholar 

  16. Pedrich, W.: On generalized fuzzy relational equations and their applications. J. Math. Anal. Appl. 107, 520–536 (1985)

    Article  MathSciNet  Google Scholar 

  17. Jamshidi, M., Vadiee, N., Ross, T.J.: Fuzzy Logic and Control. Software and Hardware Applications. PTR Prentice-Hall, Englewood Cliffs, NJ (1993)

    Google Scholar 

  18. Nesterov, Y.: Introductory Lectures on Convex Optimization. A Basic Course. Springer (2004)

    Google Scholar 

  19. Shapiro, J.F.: Mathematical Programming: Structures and Algorithms. Wiley-Interscience, New York (1979)

    MATH  Google Scholar 

  20. Yager, R.R., Filev, D.P.: Essentials of Fuzzy Modeling and Control. Wiley (1994)

    Google Scholar 

  21. Hampel, R., Wagenknecht, M., Chaker, N.: Fuzzy Control: Theory and Practice. Springer, Berlin and Heidelberg (2000)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Intelligent Information Systems Department, Petro Mohyla Black Sea State University, Mykolayiv, Ukraine

    Y. P. Kondratenko

  2. Computer-Aided Control Systems Department, National University of Shipbuilding, Mykolayiv, Ukraine

    O. V. Korobko & O. V. Kozlov

Authors
  1. Y. P. Kondratenko
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  2. O. V. Korobko
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  3. O. V. Kozlov
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Corresponding author

Correspondence to Y. P. Kondratenko .

Editor information

Editors and Affiliations

  1. University of California, Berkeley, USA

    Lotfi A. Zadeh

  2. Tech. of the Republic of Azerbaijan, Ministry of Communications Info., Baku, Azerbaijan

    Ali M. Abbasov

  3. Machine Intelligence Institute, New Rochelle, New York, USA

    Ronald R. Yager

  4. Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  5. University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

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© 2016 Springer International Publishing Switzerland

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Kondratenko, Y.P., Korobko, O.V., Kozlov, O.V. (2016). Synthesis and Optimization of Fuzzy Controller for Thermoacoustic Plant. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_31

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  • DOI: https://doi.org/10.1007/978-3-319-32229-2_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32227-8

  • Online ISBN: 978-3-319-32229-2

  • eBook Packages: EngineeringEngineering (R0)

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