DocumentCode :
2789263
Title :
MOPSO Based Multi-objective Trajectory Planning for Robot Manipulators
Author :
Zhihao Xu ; Sheng Li ; Qingwei Chen ; Baolin Hou
Author_Institution :
Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2015
fDate :
24-26 April 2015
Firstpage :
824
Lastpage :
828
Abstract :
In this paper, an interpolation method based on five order B-spline is proposed to construct continuous curves in joint space for manipulators, this method can ensure the continuity of velocity, acceleration and jerk in joint moving process. At the same time, the velocity, acceleration and jerk at both start and stop moment can be adjusted. Then the MOPSO algorithm is used to optimize these curves under three objectives, including time optimal, distance optimal, and energy optimal. The algorithm results in a set of Pareto optimal solution aggregates. Fuzzy judgment is then proposed to select one potential solution from the Pareto optimal solution aggregates.
Keywords :
Pareto optimisation; fuzzy set theory; interpolation; manipulators; path planning; splines (mathematics); trajectory control; MOPSO based multiobjective trajectory planning; Pareto optimal solution aggregates; acceleration continuity; continuous curves; curve optimization; distance optimal objective; energy optimal objective; five order B-spline; fuzzy judgment; interpolation method; jerk continuity; joint moving process; joint space; multiobjective partial-swarm optimization; robot manipulators; start moment; stop moment; time optimal objective; velocity continuity; Acceleration; Interpolation; Joints; Manipulators; Planning; Splines (mathematics); Trajectory; MOPSO; fuzzy judgment; trajectory planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
Type :
conf
DOI :
10.1109/ICISCE.2015.188
Filename :
7120728
Link To Document :
بازگشت