Title
Maneuver sequence planning for autonomous navigation based on multiple asteroid images
Abstract
During the deep space exploration, position determination is always very important for arriving at the target successfully. But only a little of navigation information can be used by the explorer after it is far away from the Earth. The autonomous navigation using asteroid sequence images provides a new way to solve the position estimation problem for deep space exploration. With more than ten asteroids' optical images, the spacecraft can determine its position autonomously after on-board image processing and computing. This paper focuses on the appropriate navigation asteroid selection and the maneuver sequence planning under the multi-constraints of optical sensors. A new synthesis selection criterion is proposed to evaluate the navigation value considering the influence of visible size, distance, relative velocity, line-of-sight angle and phase angle of asteroids. Based on the optimal performance-cost ratio asteroid set for this navigation, an improved maneuver sequence planning method using generic algorithm is proposed to realize the minimum photo-taking maneuver cost. At last, the simulation results show the advantages of this planning method.
Year
DOI
Venue
2013
10.1109/ICCA.2013.6565129
ICCA
Keywords
Field
DocType
autonomous navigation,multiconstraints,space vehicles,asteroid sequence images,optimal performance-cost ratio asteroid set,optical images,position estimation problem,navigation information,genetic algorithm,optical sensors,path planning,autonomous spacecraft position determination,image sequences,navigation,genetic algorithms,improved maneuver sequence planning method,multiple asteroid images,on-board image processing,minimum photo-taking maneuver cost realization,asteroids,navigation asteroid selection,deep space exploration,synthesis selection criterion,space exploration,sociology,sun,planning
Motion planning,Computer vision,Deep space exploration,Image processing,Asteroid,Artificial intelligence,Mobile robot navigation,Engineering,Relative velocity,Genetic algorithm,Spacecraft
Conference
Volume
Issue
ISSN
null
null
1948-3449
ISBN
Citations 
PageRank 
978-1-4673-4707-5
0
0.34
References 
Authors
1
5
Name
Order
Citations
PageRank
Rui Xu131.45
Shengying Zhu200.68
Ai Gao301.01
Wenming Xu400.34
Changqing Wu581.64