DocumentCode
3134824
Title
A time-optimal trajectory planning approach based on calculation cost consideration
Author
Xiao, Yongqiang ; Dong, Wei ; Du, Zhijiang
Author_Institution
State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
fYear
2012
fDate
5-8 Aug. 2012
Firstpage
1845
Lastpage
1850
Abstract
A new smooth online near time-optimal trajectory planning approach is proposed to reduce the computation cost compared to traditional dynamics trajectory planning method. The robot path is expressed by a scalar path coordinate s. The joints torque bounds and speed bounds are transformed into the s-s plane, which can generate the limitation curves of pseudo-velocity. The maximum pseudo-velocity curve which meets the limitation of torque and speed is constructed through the feature points and control points in the s-s plane using cubic polynomial fitting method. Control points used for cubic polynomial construction are optimized by the Golden-Section method. The calculation time of this method is shorter than traditional dynamics method. Compared to five-order polynomial trajectory optimization method, the approach proposed in this paper can effectively take advantage of joints maximum speed.
Keywords
optimal control; optimisation; path planning; robot dynamics; trajectory control; Golden-Section method; calculation cost consideration; computation cost; control points; cubic polynomial construction; cubic polynomial fitting method; five-order polynomial trajectory optimization method; joints torque bounds; limitation curves; maximum pseudo-velocity curve; robot path; smooth online near time-optimal trajectory planning; speed bounds; time-optimal trajectory planning approach; traditional dynamics trajectory planning method; Joints; Optimization; Planning; Polynomials; Robots; Torque; Trajectory; Calculation cost; Industrial Robot; Time-Optimization; Trajectory Planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-1275-2
Type
conf
DOI
10.1109/ICMA.2012.6285102
Filename
6285102
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