Indirect Optimization of Robust Orbit Transfer Considering Thruster Underperformance

Francesco Simeoni (), Lorenzo Casalino () and Antonio Amelio ()
Additional contact information
Francesco Simeoni: Thales Alenia Space
Lorenzo Casalino: Politecnico Torino
Antonio Amelio: Thales Alenia Space

A chapter in Modeling and Optimization in Space Engineering, 2023, pp 349-375 from Springer

Abstract: Abstract In the life of a spacecraft the LEOP (Launch and Early Operational Phase) is one of the most critical, because the knowledge of the behavior of the S/C platform is still uncertain. This is, in particular, true for the propulsive maneuvers performed during the first phases of a mission, when the performance of the spacecraft and thrusters is still unknown. This chapter focuses on the determination of robust control laws to take into account dramatic thruster underperformance. The insertion of a spacecraft in a highly elliptic orbit with multiple apogee burns is considered as an example and the effect of non-nominal thrust in the first apogee maneuver is analyzed. An indirect optimization method is proposed in order to find a robust control law that guarantees “optimal” performance even in such an event.

Keywords: Robust optimization; Indirect optimization; Highly elliptic orbit; Thruster underperformance (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-24812-2_13

Ordering information: This item can be ordered from
http://www.springer.com/9783031248122

DOI: 10.1007/978-3-031-24812-2_13

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().