Terminal Area Energy Management Trajectory Optimization Using Interval Analysis

Filipe, Nuno; Weerdt, E. de; Chu, Qi; Mulder, J.A.

doi:10.2514/6.2009-5768

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…In [22], an adaptive neural network-based methodology is studied to maintain a gradual glideslope and meet specific constraints, where the cost function is formulated. A new trajectory optimization algorithm is presented based on interval analysis in [23]. An optimization algorithm with dynamic pressure as the cost function is used to M A N U S C R I P T…”

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

confidence: 99%

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%