Optimal Multi-Objective Linearized Impulsive Rendezvous

The multi-objective optimization of linearized impulsive rendezvous is investigated in this paper and this optimization includes the minimum characteristic velocity, the minimum time of flight, and the maximum safety performance index, of which the trajectory safety performance index is defined as t...

Full description

Saved in:
Bibliographic Details
Published in:Journal of guidance, control, and dynamics control, and dynamics, 2007-03, Vol.30 (2), p.383-389
Main Authors: Luo, Ya-Zhong, Tang, Guo-Jin, Lei, Yong-Jun
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Control theory. Systems
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Genetic algorithms
Linear equations
Multiple objective analysis
Optimization
Physics
Rendezvous
Solid dynamics (ballistics, collision, multibody system, stabilization...)
Solid mechanics
Velocity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The multi-objective optimization of linearized impulsive rendezvous is investigated in this paper and this optimization includes the minimum characteristic velocity, the minimum time of flight, and the maximum safety performance index, of which the trajectory safety performance index is defined as the minimum relative distance between a chaser and a target in the chaser's free-flying path. A theoretical model for calculating this safety performance index is provided. The three-objective optimization model is proposed based on the Clohessy - Wiltshire system, wherein a generalized inverse matrix solution for linear equations is applied to avoid handling the terminal equality constraints. The multi-objective nondominated sorting genetic algorithm is employed to obtain the Pareto solution set. The proposed approach is evaluated using the -V-bar homing and +V-bar homing rendezvous missions. It is shown that tradeoffs between time of flight, fuel cost, and passive trajectory safety for rendezvous trajectory is quickly demonstrated by the approach. By identifying multiple solutions, the approach can produce a variety of missions to meet different need&
ISSN:0731-5090
1533-3884
DOI:10.2514/1.21433