A Comparison of Extended Kalman Filter, Extended Information Filter, and Least Squares Approaches for Parameter Identification of a Transient Heat Transfer Problem
نویسنده
چکیده
Knowledge of where air flowing across a body transitions from laminar flow to turbulent flow can provide numerous benefits to air vehicle design, thermal protection system design, and air vehicle in-flight control [1]. At the transition between these two flow regimes, a change in body-surface temperature has been measured [2]. The objective of this work is to develop a method to locate and characterize the heat flux change induced by the boundary layer transition. The solution involves a forward conduction solution and an inverse procedure. The work presented here focuses on forward conduction solution, flat plate experimentation with a known heat source, and parameter identification of the applied heat flux and the convection coefficient. Three inversion approaches are compared: extended Kalman filter, extended information filter, and least squares.
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A Comparison of Extended Kalman Filter Approaches Using Non-linear Temperature and Ultrasound Time-of-flight Measurement Models for Heating Source Localization of a Transient Heat Transfer Problem
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