Optimisation of the Terminal Flight Phase for a Future Reusable Launch Vehicle

Chartres, James; Gräßlin, Michael; Schneider, G.

doi:10.2514/6.2005-6060

Cited by 6 publications

(2 citation statements)

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“…Other studies have focused on applying direct non-linear programming (NLP) to the TAEM guidance problem. For example, a NLP optimizer is exploited for trajectory planning, allowing for the restrictions of mission profile and off-nominal conditions [20]. A three-dimensional TAEM trajectory planning algorithm combined with a down-track correction scheme is proposed in [21].…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

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Onboard guidance system design for reusable launch vehicles in the terminal area energy management phase

et al. 2018

Acta Astronautica

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A terminal area energy management (TAEM) guidance system for an unpowered reusable launch vehicle (RLV) is proposed in this paper. The mathematical model representing the RLV gliding motion is provided, followed by a transformation of extracting the required dynamics for reference profile generation. Reference longitudinal profiles are conceived based on the capability of maximum dive and maximum glide that a RLV can perform. The trajectory is obtained by iterating the motion equations at each node of altitude, where the angle of attack and the flight-path angle are regarded as regulating variables. An onboard ground-track predictor is constructed to generate the current range-to-go and lateral commands online. Although the longitudinal profile generation requires pre-processing using the RLV aerodynamics, the ground-track prediction can be executed online. This makes the guidance scheme adaptable to abnormal conditions. Finally, the guidance law is designed to track the reference commands. Numerical simulations demonstrate that the proposed guidance scheme is capable of guiding the RLV to the desired touchdown conditions.

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Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

“…density ߩ, and vehicle mass m are subject to the uniform random perturbation in the range of [-10%, 10%], as studied in[20].…”

mentioning

confidence: 99%