@inproceedings{2c16552503064c3bb11d8e291037a49f,
title = "Autonomous attitude maneuver planning in asteroid exploration missions",
abstract = "During the asteroid exploration mission, attitude maneuver is subjected to various constraints, such as geometric constraints, dynamic constraints etc. To accomplish rapid maneuver from the initial attitude to the target attitude under the complex system constraints, autonomous attitude maneuver planning problem should be considered. This article fully considers the constraints in deep space environment, and describes the maneuver process in three-dimensional space to path planning in two-dimensional plane where the constraints are translated to some obstacles in this plane. To promote the attitude maneuver efficiency and decrease the time cost, an attitude path planning algorithm based on the genetic algorithm was proposed. Take the asteroid exploration mission Chang'e II as example, simulation results show that this method not only meets the previous constraints but also effectively gives the attitude maneuver path.",
keywords = "Asteroid explorer, Attitude control, Genetic algorithm, Path planning",
author = "Changqing Wu and Rui Xu and Shengying Zhu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Conference on Mechatronics and Automation, ICMA 2015 ; Conference date: 02-08-2015 Through 05-08-2015",
year = "2015",
month = sep,
day = "2",
doi = "10.1109/ICMA.2015.7237843",
language = "English",
series = "2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2290--2295",
booktitle = "2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015",
address = "United States",
}