Eventos Anais de eventos
ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
Estimation in real time by Unscented Kalman Filter of a position and time dependent high magnitude heat flux in a 3D nonlinear heat conduction problem
Submission Author:
Vítor Fernandes Egger , RJ
Co-Authors:
Vítor Fernandes Egger, César Cunnha Pacheco
Presenter: Vítor Fernandes Egger
doi://10.26678/ABCM.ENCIT2020.CIT20-0718
Abstract
This paper shows the results obtained in the estimation of a position and time dependent high magnitude heat flux by Unscented Kalman Filter in a three-dimensional nonlinear heat conduction problem. The heat flux in applied to the top surface of a thin flat plate and the heat flux is estimated by using transient temperature measurements taken at the opposite side. The nonlinear behavior of the physical problem is caused by the material properties, which depend on the local temperature. This paper addresses the high computational cost of using a three-dimensional model by using techniques, such as parallelism, algorithm optimization and reduction of dimensionality, to enhance the performance of the Unscented Kalman filter for this physical problem. The obtained values are agreeable and coherent to the referenced values while keeping execution times smaller than simulation times, showing real time execution.
Keywords
Unscented Kalman Filter, Inverse Heat Condution Problem, Real Time Estimation
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