Quasi online sensors positioning for

heating source tracking

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Thanh Phong TRAN [1], Alban VERGNAUD [1], Laetitia PEREZ [2], Laurent AUTRIQUE [1]
[1] LABORATOIRE ANGEVIN DE RECHERCHE EN INGENIERIE DES SYSTEMES,
62 AVENUE NOTRE DAME DU LAC, 49000 ANGERS, FRANCE.
 Corresponding author: laurent.autrique@univ-angers.fr
[2] LTN-UMR CNRS 6607, UNIVERSITE DE NANTES
LA CHANTRERIE, RUE CHRISTIAN PAUC, BP50609, 44306 NANTES CEDEX 03, FRANCE

 

 

 

Abstract: In this communication, inverse heat conduction problem related to heating source tracking is investigated. In such a context, it is usual to introduce an optimization problem where a quadratic cost-function has to be minimized. Iterative minimization of this criterion based on conjugate gradient method is widespread since this algorithm provides regularization properties for inverse heat conduction problem. Quasi online adaptation of this numerical method aims to identify the unknown characteristics with a small delay after the required observations (temperature measurements). Moreover, this approach offers the opportunity to move mobile sensors in order to increase the overall sensitivity and thus to improve the quality of the identification. In addition, better sensors locations could also reduce the computational time. Thus quasi online identification could be improved (shorter delay and better accuracy).

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Keywords: Optimal observations, inverse heat conduction problem, Quasi online identification

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ICIPE 2017

The 9th International Conference on Inverse Problems in Engineering

May 23-26, Waterloo, Toronto, Canada

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DOI : https://icipe17.uwaterloo.ca/schedule.html

Homepage: https://icipe17.uwaterloo.ca/

Abstract : click here

Full-paper : click here

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