Mu, Lingxia, Yu, Xiang, Zhang, Youmin, Li, Ping and Wang, Xinmin (2017) Onboard guidance system design for reusable launch vehicles in the terminal area energy management phase. Acta Astronautica . ISSN 00945765 (In Press)
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Official URL: http://dx.doi.org/10.1016/j.actaastro.2017.10.027
Abstract
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.
| Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical, Industrial and Aerospace Engineering |
|---|---|
| Item Type: | Article |
| Refereed: | Yes |
| Authors: | Mu, Lingxia and Yu, Xiang and Zhang, Youmin and Li, Ping and Wang, Xinmin |
| Journal or Publication: | Acta Astronautica |
| Date: | 21 November 2017 |
| Funders: |
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| Digital Object Identifier (DOI): | 10.1016/j.actaastro.2017.10.027 |
| Keywords: | Terminal area energy management (TAEM); Guidance system; Trajectory planning; Ground-track predictor; Reusable launch vehicle (RLV) |
| ID Code: | 983225 |
| Deposited By: | Danielle Dennie |
| Deposited On: | 22 Nov 2017 21:36 |
| Last Modified: | 20 Nov 2018 01:00 |
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