Learning-based Adaptive Thrust Regulation of Solid Fuel Ramjet

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Scitech2023_SFRJ_Ankit.pdf (1.23 MB)

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https://arc.aiaa.org/doi/10.2514/6.2023-2533

Permanent Link

https://doi.org/10.2514/6.2023-2533
 http://hdl.handle.net/11603/26953

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UMBC Mechanical Engineering Department
UMBC Faculty Collection
UMBC Student Collection

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Author/Creator ORCID

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

Date

2023-01-19

Type of Work

conferene papers and proceedings
postprints
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Citation of Original Publication

Oveissi, Parham, et al. "Learning-based Adaptive Thrust Regulation of Solid Fuel Ramjet" AIAA SCITECH 2023 Forum 23-27 January 2023. https://doi.org/10.2514/6.2023-2533.

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Abstract

This paper uses retrospective cost adaptive control to regulate the thrust generated by a solid fuel ramjet engine. A one-dimensional quasi-static model based on the conservation of mass, momentum, and energy, along with a simplified regression model for solid fuel combustion, is used to model the solid fuel ramjet engine. We use the SFRJ model in open-loop simulations to establish the operational envelope of the engine. Then, RCAC is tuned to regulate the thrust produced by the engine in nominal and off-nominal operating conditions. The performance of the adaptive controller is compared with a fixed-gain controller optimized by RCAC under nominal operating conditions. In each case, it is observed that the RCAC significantly improves the transient performance.