**Page description appears here**

“Multivariable Feedback Control of Nuclear Reactors”

Authors: Rune Moen
Affiliation: Institute for Energy Technology (IFE), OECD Halden Reactor Project
Reference: 1982, Vol 3, No 3, pp. 165-186.

     Valid XHTML 1.0 Strict


Keywords: Nuclear reactor, multivariable feedback control, optimal control

Abstract: Multivariable feedback control has been adapted for optimal control of the spatial power distribution in nuclear reactor cores. Two design techniques, based on the theory of automatic control, were developed: the State Variable Feedback (SVF) is an application of the linear optimal control theory, and the Multivariable Frequency Response (MFR) is based on a generalization of the traditional frequency response approach to control system design.

The two design methods lead to different structures for the control system, and both were studied in simulation. The objective of the paper is to show the benefits and problems related to the SVF and MFR techniques, when used to design a control system for a typical pressurized light water reactor core. The models and the design procedures are described and results from simulation experiments are presented.

The conclusion of the simulation experiments is that the two methods SVF and MFR are similar with respect to performance and computational requirements. However, during the design of this particular control system, the MFR method was easier to apply. The SVF control system includes a Kalman filter state estimator. The simulation experiments show that the state estimator converges sufficiently fast for use with the SVF control system.

PDF PDF (4994 Kb)        DOI: 10.4173/mic.1982.3.3

Currently no DOI forward links to this article

References:
[1] BLOMSNES, B., and KARPPINEN, J. (1976). An application of optimization methods to spatial control of nuclear reactor cores, in International Symposium on new Trends in System Analysis, 13th-17th December, Rocquencourt, France.
[2] BOLLACASA, D., and BUSI, T. (1981). Multivariable feedback control applications in C-E high power density PWRs, in International Topical Meeting on Advances in Mathematical Methods for the Solution of Nuclear Engineering Problems, April 27th-29th. München, Germany.
[3] HAUGSET, K., and LEIKKONEN, I. (1980). Nuclear reactor control by multistage mathematical programming. Modeling, Identification and Control, 1, 119-133, doi:10.4173/mic.1980.2.5
[4] KARPPINEN, J., VERSLUIS, R.M., and BLOMSNES, B. (1979). Core control optimization for scheduled load changes in large pressurized water reactors. Nucl. Sci. Eng., 71, 1-17.
[5] ROSENBROCK, H.H. (1971). Computer-Aided Control System Design (Academic Press).
[6] BERAHA, D., and KARPPINEN, J. (1981). Power distribution control by hierarchical optimisation techniques, in International Topical Meeting on Advances in Mathematical Methods for the Solution of Nuclear Engineering Problems, April 27th-29th, München, Germany.


BibTeX:
@article{MIC-1982-3-3,
  title={{Multivariable Feedback Control of Nuclear Reactors}},
  author={Moen, Rune},
  journal={Modeling, Identification and Control},
  volume={3},
  number={3},
  pages={165--186},
  year={1982},
  doi={10.4173/mic.1982.3.3},
  publisher={Norwegian Society of Automatic Control}
};

News

Jan 2012: Follow MIC on your smartphone by using the Google Reader App and the RSS feed.

Smartphone


July 2011: MIC passes 1000 ISI Web of Science citations.


Mar 2010: MIC is now indexed by DOAJ and has received the Sparc Seal seal for open access journals.


Dec 2009: RSS feed for latest issue is available.


Dec 2009: A MIC group is created at LinkedIn and Twitter.


Oct 2009: MIC is now fully updated in ISI Web of Knowledge.