Adaptive Combustion Regulation in Solid Fuel Ramjet

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AIAA_Scitech_2024_SFRJ_extended_model.pdf (1.8 MB)

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https://arc.aiaa.org/doi/abs/10.2514/6.2024-0743

Permanent Link

https://doi.org/10.2514/6.2024-0743
 http://hdl.handle.net/11603/31591

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UMBC Mechanical Engineering Department
UMBC Faculty Collection
UMBC Student Collection

Author/Creator

Author/Creator ORCID

https://orcid.org/0000-0001-9326-0319
 https://orcid.org/0000-0002-4146-6275

Date

2024-01-04

Type of Work

conference papers and proceedings
preprints
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Program

Citation of Original Publication

Oveissi, Parham, Ankit Goel, Ozgur Tumuklu, and Kyle M. Hanquist. “Adaptive Combustion Regulation in Solid Fuel Ramjet.” In AIAA SCITECH 2024 Forum. American Institute of Aeronautics and Astronautics. Accessed January 25, 2024. https://doi.org/10.2514/6.2024-0743.

Rights

© 2024 American Institute of Aeronautics and Astronautics

Subjects

Abstract

Control of the combustion process under hypersonic conditions remains a challenging problem. In this paper, we investigate the application of a data-driven, learning-based control technique to regulate a combustion process evolving inside a solid fuel ramjet to regulate the generated thrust under unknown operating conditions. A computational model to simulate the combustion dynamics is developed by combining compressible flow theory with equilibrium chemistry. The computational model is simulated to ascertain the combustion dynamics' stability and establish the engine's operational envelope. Based on retrospective cost optimization, an online learning controller is then integrated with the computational model to regulate the generated thrust. Numerical simulation results are presented to demonstrate the robustness of the adaptive control system.