Computational guidance for planetary powered descent using collaborative optimization
PublisherELSEVIER SCIENCE BV
CitationX. Jiang, S. Li, and T. Tao, “Computational guidance for planetary powered descent using collaborative optimization,” Aerospace Science and Technology, vol. 76, pp. 37-48, 2018.
JournalAerospace Science and Technology
Rights© 2018 Elsevier Masson SAS. All rights reserved.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractAn innovative computational guidance framework is proposed for planetary powered descent using collaborative optimization approach. First, the dynamical model and constraints for planetary powered descent are presented. Then, using collaborative optimization strategy, the computational guidance framework for powered descent is formulated as a multi-discipline optimization problem including trajectory optimization, optimal guidance, and system-level optimization. Finally, the computational guidance approach employs three algorithms for respectively solving the three optimization modules to implement numerical simulations. The optimality and robustness of the computational guidance approach are verified with all constraints satisfied even in the presence of initial state uncertainty.
Note24 month embargo; published online: 7 February 2018
VersionFinal accepted manuscript