Solution of a Nuclear Reactor Parameter Identification Problem
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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A continuous identification of parameters is performed on a simulated fast breeder nuclear reactor system using hybrid computation and applying techniques of statistical regression analysis and exponentially-mapped-past functions. Output states which are not directly measurable are estimated by use of a Kalman filter. The method developed in this study is applied to a numerical example which demonstrates that unknown parameters can be identified within 3 of their actual value, with signal noise ratios as low as 101 in the measured states. The example also demonstrates that convergence occurs in a reasonably short time.
- Nuclear Power Plants and Fission Reactor Engineering