Oveissi, ParhamTrivedi, ArjunGoel, AnkitTumuklu, OzgurHanquist, Kyle M.Farahmandi, AlirezaPhilbrick, Douglas2023-03-062023-03-062023-01-19Oveissi, 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.https://doi.org/10.2514/6.2023-2533http://hdl.handle.net/11603/26953AIAA SCITECH 2023 Forum 23-27 January 2023 National Harbor, MD & OnlineThis 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.11 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Text