Accession Number:

AD0738874

Title:

Solution of a Nuclear Reactor Parameter Identification Problem

Descriptive Note:

Master's thesis

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s):

• Brain Canepa, Oscar E.

Report Date:

1971-06-01

Pagination or Media Count:

87.0

Abstract:

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.

Descriptors:

• *REACTOR CONTROL
• *BREEDER REACTORS
• COMPUTER PROGRAMS
• MATHEMATICAL MODELS
• ADAPTIVE CONTROL SYSTEMS
• REACTOR KINETICS
• THESES
• REGRESSION ANALYSIS
• IDENTIFICATION SYSTEMS
• DIFFERENTIAL EQUATIONS

Subject Categories:

• Nuclear Power Plants and Fission Reactor Engineering

Distribution Statement:

APPROVED FOR PUBLIC RELEASE