Real-time aerodynamic load estimation for hypersonics via strain-based inverse maps
Julie Pham, Omar Ghattas, Noel Clemens, Karen Willcox

TL;DR
This paper presents a fast, real-time inverse method to estimate hypersonic vehicle surface pressures from sparse strain measurements, enabling improved control and testing in harsh environments.
Contribution
It introduces a linear inverse formulation with pre-computed inverse maps for rapid pressure estimation on hypersonic vehicles, including uncertainty quantification.
Findings
Accurate reconstruction of surface pressure fields.
Effective estimation of force and moment coefficients.
Robustness to sensor noise demonstrated.
Abstract
This work develops an efficient real-time inverse formulation for inferring the aerodynamic surface pressures on a hypersonic vehicle from sparse measurements of the structural strain. The approach aims to provide real-time estimates of the aerodynamic loads acting on the vehicle for ground and flight testing, as well as guidance, navigation, and control applications. Specifically, the approach targets hypersonic flight conditions where direct measurement of the surface pressures is challenging due to the harsh aerothermal environment. For problems employing a linear elastic structural model, we show that the inference problem can be posed as a least-squares problem with a linear constraint arising from a finite element discretization of the governing elasticity partial differential equation. Due to the linearity of the problem, an explicit solution is given by the normal equations.…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Elasticity and Material Modeling · Gas Dynamics and Kinetic Theory
