Improved sequential convex programming using modified Chebyshev–Picard iteration for ascent trajectory optimization

This paper presents an improved sequential convex programming (SCP) algorithm for ascent trajectory optimization of launch vehicles, by exploiting the state-of-the-art modified Chebyshev–Picard iteration (MCPI) technique. In the proposed algorithm, the MCPI technique is first utilized to transcribe...

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Veröffentlicht in:	Aerospace science and technology Jg. 120; S. 107234
Hauptverfasser:	Ma, Yangyang, Pan, Binfeng, Hao, Chuanchuan, Tang, Shuo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Masson SAS 01.01.2022
Schlagworte:	Launch vehicle Modified Chebyshev–Picard iteration Sequential convex programming Trajectory optimization Launch vehicle Sequential convex programming Modified Chebyshev–Picard iteration Trajectory optimization
ISSN:	1270-9638, 1626-3219
Online-Zugang:	Volltext
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