Ea. Artyukhin et Iy. Gedzhadze, A METHOD FOR SOLVING THE OBSERVATION PROBLEM FOR A NONSTATIONARY TEMPERATURE-FIELD (A LINEAR CASE), Journal of computer & systems sciences international, 37(4), 1998, pp. 605-614
Citations number
17
Categorie Soggetti
Computer Science Theory & Methods","Computer Science Artificial Intelligence","Computer Science Cybernetics","Computer Science Theory & Methods","Computer Science Artificial Intelligence","Computer Science Cybernetics
The functioning of many modern technical objects is followed by intens
ive heat flows. In a number of cases, it becomes necessary to observe
the object's current heat state in order to control it further. Since
the heat conduction equation is applied as a model of the process of h
eat conduction, the observation is reduced to the solution of the inve
rse problem for this equation in a real (or close to real) time mode.
In this paper, the observation algorithm for a nonstationary temperatu
re field of a one-dimensional object is proposed. This algorithm is ba
sed on a procedure of solving the inverse heat conduction problem that
is formulated on a small time interval that precedes the current inst
ant. The source problem is reduced to an algebraic form and regularize
d by the Tikhonov method. When a solution is constructed on the basis
of a small sample of observations, it is shown that the application of
methods for choosing a regularization parameter, widely used in the p
ractice of solving ill-posed problems, does not lead to satisfactory r
esults. Therefore, the source problem and the algorithm of its solutio
n are interpreted as a digital filter, and optimal values of all param
eters that affect the accuracy of estimation are chosen on the basis o
f analysis of the corresponding transfer functions and a priori inform
ation related to the measurement error and the boundary heat action.