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Path planning of loaded pin-jointed bar mechanisms using Rapidly- exploring Random Tree method

机译:快速探索随机树方法的加载销连接杆机构的路径规划

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Path planning of loaded pin-jointed bar mechanisms, typical of Pantadome, is discussed in this paper. In engineering, the path from the initial configuration to the target configuration generally cannot be determined easily because of the complicated constraint conditions. The basic kinematic equation of loaded pin-jointed bar mechanisms is hereby established based on FEA, and the driving condition of internal rigid-body (mechanism) displacements is presented for the length actuation of active members. A numerical strategy is proposed to trace the shortest path of pure mechanism displacement from the initial configuration to the given target configuration. With the emphasis on the constraints of structural stability and range of motion, the Rapidly-exploring Random Tree (RRT) method is adopted for the path planning of the loaded pin-jointed bar mechanisms. The RRT method is further modified to be applicable for the path planning when the target configuration is implicitly defined by its distance to be as close as possible to a geometrical boundary, at which the conventional RRT algorithm fails to track multiple feasible paths. An adaptive strategy is also suggested to improve the sampling efficiency of RRT. Considering loose and tight constraints of structural stability respectively, a loaded planar Pantadome is employed as the numerical example to investigate the validity of the path planning method proposed in this paper. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本文讨论了Pantadome的典型销钉连接的连杆机构的路径规划。在工程中,由于复杂的约束条件,通常无法轻易确定从初始配置到目标配置的路径。在此基础上,基于有限元分析,建立了受力销连杆机构的基本运动学方程,并提出了主动构件长度驱动的内部刚体(机构)位移的驱动条件。提出了一种数值策略来追踪从初始配置到给定目标配置的纯机械位移的最短路径。在强调结构稳定性和运动范围的约束时,采用快速探索随机树(RRT)方法对加载的销钉连接杆机构进行路径规划。当目标配置由其距离隐式定义为尽可能接近几何边界时,RRT方法将进一步修改以适用于路径规划,而常规RRT算法无法在该几何边界处跟踪多个可行路径。还提出了一种自适应策略来提高RRT的采样效率。分别考虑结构稳定性的松散约束和严格约束,以加载的平面Pantadome为例,研究了本文提出的路径规划方法的有效性。 (C)2018 Elsevier Ltd.保留所有权利。

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