An improved computation of time-optimal control trajectory for robotic point-to-point motion
作者:
YAOBIN CHEN,
JIAN HUANG,
期刊:
International Journal of Control
(Taylor Available online 1996)
卷期:
Volume 65,
issue 1
页码: 177-194
ISSN:0020-7179
年代: 1996
DOI:10.1080/00207179608921692
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper presents a computational method for generating time-optimal control (TOC) trajectories for robotic point-to-point motions. The algorithm is composed of two phases: initialization and refinement. In the initialization phase, a two-point boundary value problem (TPBVP) resulting from the perturbed TOC problem is solved for an appropriately chosen perturbation parameter. The solution obtained from the initialization phase is then refined by solving a set of initial value problems (IVPs) sequentially and/or in parallel until the desired solution is achieved. The proposed two-phase method is computationally efficient since the resulting TPBVP is solved onlyone timeand the remaining problem becomes solutions to a set of IVP subproblems. The algorithm was used to investigate the effects of robot parameters on the TOC structure through computer simulations on an example robot system with different motion configurations, including both regular and singular trajectories.
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