Specific control engineering techniques enable the landing maneuvers of reusable rockets.
Specific control engineering and guidance techniques are directly responsible for enabling the precise landing maneuvers of reusable rockets and vertical-landing launch vehicles.
The claim is specific, empirical, and well-supported by multiple retrieved papers detailing control systems, guidance algorithms, and GNC technologies for reusable launch vehicles and planetary landings.
Ju X, Wei C, Xu H, Wang F. Fractional-order sliding mode control with a predefined-time observer for VTVL reusable launch vehicles under actuator faults and saturation constraints.. 2022. https://doi.org/10.1016/j.isatra.2022.02.003
This study presents a composite control system using sliding mode control and observers to handle actuator constraints during the vertical landing of reusable launch vehicles.
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Johnston H, Schiassi E, Furfaro R, Mortari D. Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections.. 2020. https://doi.org/10.1007/s40295-020-00228-x
This paper introduces an advanced powered descent guidance approach using the Theory of Functional Connections to solve fuel-efficient landing on planetary bodies.
Marwege A, Gülhan A, Klevanski J, Hantz C, Karl S, Laureti M, De Zaiacomo G, Vos J, Jevons M, Thies C, Krammer A, Lichtenberger M, Carvalho J, Paixão S. RETALT: review of technologies and overview of design changes.. 2022. https://doi.org/10.1007/s12567-022-00458-9
This review highlights Guidance, Navigation, and Control (GNC) and retro propulsion as critical key technologies studied for the vertical landing of reusable launcher configurations.
Nugroho L, Andiarti R, Akmeliawati R, Wijaya SK. Enhancing the landing guidance of a reusable launch vehicle by improving genetic algorithm-based deep reinforcement learning using Hybrid Deterministic-Stochastic algorithm.. 2024. https://doi.org/10.1371/journal.pone.0292539
This research demonstrates how hybrid deterministic-stochastic algorithms and deep reinforcement learning enhance the landing guidance and accuracy of reusable launch vehicles.
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