EconPapers    
Economics at your fingertips  
 

Optimal Planetary Orbital Transfers via Chemical Engines and Electrical Engines

A. Miele and T. Wang
Additional contact information
A. Miele: Rice University
T. Wang: Rice University

Journal of Optimization Theory and Applications, 2005, vol. 127, issue 3, No 12, 587-604

Abstract: Abstract Because the orbital periods for planetary orbital transfers are of order hour, the primary objective of an optimal trajectory is to minimize the propellant consumption. In this paper, we present a systematic investigation of optimal trajectories for planetary orbital transfer. Major results on thrust control, propellant consumption, and flight time are presented with particular reference to LEO-to-GEO transfer. The following results were obtained with the sequential gradient-restoration algorithm in either single-subarc form or multiple-subarc form: (i) For minimum propellant consumption, the thrust direction is tangent to the flight path. The thrust magnitude has a three-subarc form: powered flight with maximum thrust is followed by coasting flight, which is followed by powered flight with maximum thrust. (ii) The flight time is determined mainly by the thrust-to-weight ratio. A transfer via chemical engines is relatively short: usually, it requires less than one cycle to achieve the mission, which involves a large portion of coasting flight. A transfer via electrical engines is relatively long: usually, it requires a multicycle spiral trajectory to achieve the mission, which involves a large portion of powered flight, mostly in the first subarc. (iii) The propellant consumption is determined mainly by the specific impulse: the electrical engine is more efficient than the chemical engine, resulting in lower propellant consumption and higher payload.

Keywords: Electrical Engine; Orbital Period; Chemical Engine; Systematic Investigation; Major Result (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10957-005-7505-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:joptap:v:127:y:2005:i:3:d:10.1007_s10957-005-7505-x

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-005-7505-x

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:127:y:2005:i:3:d:10.1007_s10957-005-7505-x