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Hierarchical Motion Planning for Multisteering Tractor–Trailer Mobile Robots with On-Axle Hitching

机译:带有轴上挂钩的多转向拖拉机-拖车移动机器人的分层运动计划

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摘要

Normally, due to the strongly coupled kinematics and under-actuated property, motion planning for a multisteering tractor–trailer mobile robot (MSTTMR) is a complex problem. In this paper, an MSTTMR system with on-axle hitching is considered. Motion planning for it is divided into three independent subproblems: planning a collision-free geometric path for the tractor, transforming the geometric path into a motion trajectory of the tractor, as well as generating motion trajectories for the trailers, and then they are solved by means of a three-level hierarchical method. At the highest level, a geometric path in the form of a cubic spline curve is planned for the tractor. To consider obstacle avoidance and satisfy constraints on the control inputs of the tractor, the path parameters are optimized by an improved quantum-behaved particle swarm optimization algorithm. At the middle level, the planned path is transformed into a feasible motion trajectory of the tractor. At the lowest level, to guide all the trailers to track the planned path, motion planning for the trailers is achieved by the Gauss pseudospectral method (GPM). As a result, both the tractor and trailers can simultaneously move along the same path, and turning maneuvers in narrow and cluttered spaces can successfully be achieved. Simulation and experimental results are presented to show the effectiveness of the proposed approach.
机译:通常,由于运动学和欠驱动特性的强烈耦合,用于多方向牵引车-拖车移动机器人(MSTTMR)的运动计划是一个复杂的问题。在本文中,考虑了带有轴上挂钩的MSTTMR系统。它的运动计划分为三个独立的子问题:为拖拉机规划无碰撞的几何路径,将几何路径转换为拖拉机的运动轨迹,以及为拖车生成运动轨迹,然后通过以下方法解决它们:三级分层方法的手段。在最高级别上,规划了拖拉机三次方样条曲线形式的几何路径。为了考虑避开障碍物并满足对拖拉机控制输入的约束,通过改进的量子行为粒子群优化算法对路径参数进行了优化。在中间层,计划的路径将转换为拖拉机的可行运动轨迹。在最低级别上,为了指导所有挂车跟踪计划的路径,通过高斯伪谱方法(GPM)实现了挂车的运动计划。结果,牵引车和挂车可以同时沿着相同的路径移动,并且可以成功地在狭窄且混乱的空间中实现转向动作。仿真和实验结果表明了该方法的有效性。

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