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
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