ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)

vol 62 / November, 2019

DOI 10.17586/0021-3454-2019-62-3-212-217

UDC 536.6


N. V. Pilipenko
ITMO University, Saint Petersburg, 197101, Russian Federation; Associate professor; Professor

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Abstract. The use of the Kalman digital filter algorithm for parametric identification of differential-difference models of heat transfer in body systems by solving inverse problems of thermal conductivity is considered. The Kalman filter allows to estimate the uncertainty of recovery of the required parameters by minimizing the discrepancy between the measured and model values of the parameters, in particular, the unsteady heat flow. An analysis of the Kalman filter by parameters is given, its advantages and disadvantages are specified. An extended Kalman filter allowing to reduce significantly the volume of calculations of a matrix of sensitivity functions and to exclude completely need of a task of often unknown initial temperature distribution in object of research is proposed. The proposed method of recovery of non-stationary heat flow using the extended Kalman filter is implemented by the software complex "Heat Identification" and implemented in the practice of non-stationary thermometry. The results of model and full-scale experimental studies are presented.
Keywords: Kalman filter, heat flux, heat flux transducer, differential-difference models

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