Desensitized Trajectory Optimization for Hypersonic Vehicles
| Autor: | Jack Ridderhof, Venkata Ramana Makkapati, Joseph Hart, Bart G. van Bloemen Waanders, Panagiotis Tsiotras |
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| Rok vydání: | 2021 |
| Předmět: |
020301 aerospace & aeronautics
Drag coefficient Hypersonic speed Computer science Monte Carlo method 02 engineering and technology Aerodynamics Trajectory optimization Optimal control 01 natural sciences 0203 mechanical engineering Control theory 0103 physical sciences Trajectory 010303 astronomy & astrophysics Parametric statistics |
| Zdroj: | 2021 IEEE Aerospace Conference (50100). |
| Popis: | This paper addresses trajectory optimization for hypersonic vehicles under atmospheric and aerodynamic uncertainties using techniques from desensitized optimal control (DOC), wherein open-loop optimal controls are obtained by minimizing the sum of the standard objective function and a first-order penalty on trajectory variations due to parametric uncertainty. The proposed approach is demonstrated via numerical simulations of a minimum-final-time Earth reentry trajectory for an X-33 vehicle with an uncertain atmospheric scale height and drag coefficient. Monte Carlo simulations indicate that dispersions in the final position footprint and the final energy can be significantly reduced without closed-loop control and with little tradeoff in the performance metric set for the trajectory. |
| Databáze: | OpenAIRE |
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