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Control of Boilers for Thermoelectric Power Plants by Means of a Statistical Model

  • Hideo Nakamura
Chapter
Part of the Statistics for Engineering and Physical Science book series (ISS)

Abstract

This chapter introduces a successful application of the optimal regulator to steam temperature control of thermal electric power plants, in which the state equation for the control system design is derived based on a statistical model.

Keywords

Thermal Power Plant Gain Matrix Manipulate Variable Optimal Control System Thermoelectric Power Plant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Akaike, H. and Nakagawa, T. (1972), Statistical Analysis and Control of Dynamic Systems, Saiensu-sha, Tokyo (in Japanese, with a computer program package TIMSAC written in FORTRAN IV with English comments.)Google Scholar
  2. Akaike, H. and Nakagawa, T. (1988), Statistical Analysis and Control of Dynamic Systems, Kluwer Scientific Publisher, Dordrecht/Boston/London.zbMATHGoogle Scholar
  3. Bendat, J. B. and Pierson, A. G. (1977), Pandom data: Analysis and measurement procedures, John Wiley.Google Scholar
  4. Bruggeman (1992), “Acord nanticoke test results and implementation”, June 1992 EPRI/ISA Power Symposium in Kansas City, June 4–5, 1992.Google Scholar
  5. Nakamura, H. and Akaike, H. (1981), “Statistical identification for optimal control of supercritical thermal power plants,” Automatica, Vol. 17, No. 1, 143–155.zbMATHCrossRefGoogle Scholar
  6. Otomo, T., Nakagawa, T. and Akaike, H. (1972), “Statistical approach to computer control of cement rotary kilns,” Automatica, Vol. 8, No. 1, 35–48.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag New York, Inc. 1999

Authors and Affiliations

  • Hideo Nakamura
    • 1
  1. 1.6-18-6 Minamiga-oka, Ohnojo-shiFukuoka-kenJapan

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