Asteroid Rendezvous Mission Design Using Multiobjective Particle Swarm Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A new preliminary trajectory design method for asteroid rendezvous mission using multiobjective optimization techniques is proposed.
This method can overcome the disadvantages of the widely employed Pork-Chop method.
The multiobjective integrated launch window and multi-impulse transfer trajectory design model is formulated, which employes minimum-fuel cost and minimum-time transfer as two objective functions.
The multiobjective particle swarm optimization (MOPSO) is employed to locate the Pareto solution.
The optimization results of two different asteroid mission designs show that the proposed approach can effectively and efficiently demonstrate the relations among the mission characteristic parameters such as launch time, transfer time, propellant cost, and number of maneuvers, which will provide very useful reference for practical asteroid mission design.
Compared with the PCP method, the proposed approach is demonstrated to be able to provide much more easily used results, obtain better propellant-optimal solutions, and have much better efficiency.
The MOPSO shows a very competitive performance with respect to the NSGA-II and the SPEA-II; besides a proposed boundary constraint optimization strategy is testified to be able to improve its performance.
American Psychological Association (APA)
Luo, Ya-zhong& Zhou, Li-ni. 2014. Asteroid Rendezvous Mission Design Using Multiobjective Particle Swarm Optimization. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-500976
Modern Language Association (MLA)
Luo, Ya-zhong& Zhou, Li-ni. Asteroid Rendezvous Mission Design Using Multiobjective Particle Swarm Optimization. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-500976
American Medical Association (AMA)
Luo, Ya-zhong& Zhou, Li-ni. Asteroid Rendezvous Mission Design Using Multiobjective Particle Swarm Optimization. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-500976
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500976