Optimal drag-energy entry guidance via pseudospectral convex optimization

Marco Sagliano, Erwin Mooij

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

15 Citations (Scopus)
41 Downloads (Pure)


In this paper a new drag-energy scheme, based on the use of pseudospectral methods and convex optimization, is proposed. One of the most successful technologies to deal with atmospheric entry is the class of drag-tracking schemes, a direct heritage of the Space Shuttle program. The method that we propose exploits the drag-dynamics, and allows for an effcient automatic design of an optimal entry profile satisfying all the longitudinal constraints acting on the vehicle. A new representation of the entry-guidance problem, able to loss-less convexify the formulation, is provided. Numerical simulations confirm the validity of the proposed scheme as tool for further improving the autonomy of modern entry guidance systems, with a mean final range-to-go error in the order of three hundred meters, and the capability to re-compute a complete constrained trajectory to meet the mission requirements.

Original languageEnglish
Title of host publicationAIAA Guidance, Navigation, and Control
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
Number of pages22
ISBN (Electronic)9781624105265
Publication statusPublished - 2018
EventAIAA Guidance, Navigation, and Control Conference, 2018 - Kissimmee, United States
Duration: 8 Jan 201812 Jan 2018


ConferenceAIAA Guidance, Navigation, and Control Conference, 2018
CountryUnited States
Internet address

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