DocumentCode :
2577564
Title :
Time-optimal dynamic path inversion for an automatic guided vehicle
Author :
Lini, Gabriele ; Piazzi, Aurelio
Author_Institution :
Dipt. di Ing. dell´´Inf., Univ. di Parma, Parma, Italy
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
5264
Lastpage :
5269
Abstract :
The article presents the time-optimal trajectory planning of an automatic guided vehicle (AGV) on a given feasible path while respecting velocity, acceleration and jerk constraints. A theoretical result shows the connection for the AGV between the geometric continuity of its paths and the smoothness of its control inputs (linear velocity and steering angle of the AGV motor wheel). The solution hence proposed for the optimal planning is based on a dynamic path inversion algorithm for which first the optimal velocity profile is determined and then the optimal steering signal is derived from a geometrical construction. A set of sufficient conditions for the feasibility of the velocity planning is devised and the practical computation of the optimal velocity profile uses time-discretization and linear programming. A worked example using η3-splines illustrates the method.
Keywords :
automatic guided vehicles; linear programming; mobile robots; motion control; path planning; splines (mathematics); telerobotics; η3-splines; AGV; automatic guided vehicle; linear programming; linear velocity; motion control; optimal velocity profile; path geometric continuity; steering angle; time-discretization; time-optimal dynamic path inversion; time-optimal trajectory planning; velocity planning; Acceleration; Heuristic algorithms; Interpolation; Linear programming; Planning; Vehicle dynamics; Wheels; Automatic guided vehicles; constrained velocity planning; dynamic path inversion; feedforward control; minimum-time control; time-optimal trajectory planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5717757
Filename :
5717757
Link To Document :
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