DocumentCode :
3573025
Title :
Study on random sampling motion planning algorithm for maneuvering in close of on-orbit servicing spacecraft
Author :
Jifeng Guo ; Chunlin Song ; Cheng Chen
Author_Institution :
Dept. of Aerosp. Eng., Harbin Inst. of Technol., Harbin, China
fYear :
2014
Firstpage :
3073
Lastpage :
3077
Abstract :
Because of characteristics of maneuvering in close of on-orbit servicing spacecraft, the motion planning algorithm needs to satisfy the requirements of real time, rapidity and adaptability. Analysis the characteristics of rapidly-exploring random trees algorithm based on randomized motion planning, apply the state transition matrix to compute relative motion on elliptical orbit, represent the motion planning algorithm with dependent variable like time based on basic rapidly-exploring random trees algorithm. Prove this algorithm to satisfy the above requirement from the simulations finally.
Keywords :
aircraft control; matrix algebra; path planning; random processes; space vehicles; trees (mathematics); elliptical orbit; on-orbit servicing spacecraft; random sampling motion planning algorithm; rapidly-exploring random trees algorithm; state transition matrix; Aerospace electronics; Algorithm design and analysis; Automation; Educational institutions; Orbits; Planning; Space vehicles; elliptical orbit; random sampling; servicing spacecraft;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053219
Filename :
7053219
Link To Document :
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