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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science >Collision-free path planning of a novel reconfigurable mobile parallel mechanism
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Collision-free path planning of a novel reconfigurable mobile parallel mechanism

机译:一种新型可重构移动平行机制的自由碰撞路径规划

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摘要

This paper initially deals with the design of a new customized reconfigurable mobile parallel mechanism. This mechanism is called the Taar Reconfigurable ParaMobile' (TRPM), consisting of three mobile robots as the main actuators. Then, the kinematics and path planning for this mechanism are presented. The newly proposed mechanism is expected to circumvent some shortcomings of inspection operation in unknown environments with unexpected changes in their workspace, for example, in a water pipe with a non-uniform cross-sectional area. In this paper, Artificial Potential Field' (APF) has been assumed to be the path planning algorithm and its resulting attractive and repulsive forces are only applied to the end-effector to generate the desired path. It is worth mentioning that the obstacle considered in this paper is a wedge which models an environment with non-uniform cross-sectional area along the path travelled by the end-effector. The inverse kinematics of the TRPM is then solved by resorting to the Resultant method as well as the Homotopy continuation method. The objective of utilizing these two well-known methods is to verify the correctness of the upper bound of solutions. It should be mentioned that solving the inverse kinematic problem obtained from both above-mentioned methods, leads to 12 solutions: eight real and four complex solutions. As a novel parallel mechanism, the TRPM yields a three-degrees-of-freedom kinematic redundancy. Despite the fact that the redundancy is sometimes beneficial for the control procedure, solving the inverse kinematics of the TRPM would be feasible only by adding some constraints. As a result, there will be a system of equations consisting of three kinematic equations and three auxiliary equations. Results from this study reveal that, by applying APF as the path planning algorithm to the TRPM, it is possible to track proper paths to reach the target.
机译:本文最初涉及新的定制可重新配置移动并行机制的设计。该机制称为Taar可重新配置的彩表(TRPM),包括三个移动机器人作为主执行器。然后,提出了这种机制的运动学和路径规划。预计新拟议的机制将在未知环境中规避一些检查操作的缺点,其工作空间意外变化,例如,在具有非均匀横截面积的水管中。在本文中,假设人工势域'(APF)是路径规划算法,其产生的吸引力和排斥力仅应用于末端执行器以产生所需的路径。值得一提的是,本文考虑的障碍是楔形的楔形,其沿着端部执行器行进的路径模拟具有非均匀横截面积的环境。然后通过诉诸所得方法以及同型延续方法来解决TRPM的逆运动学。利用这两个众所周知的方法的目的是验证解决方案的上限的正确性。应该提到的是,解决从上述方法中获得的逆运动学问题,导致12个解决方案:八个真实和四种复杂的解决方案。作为一种新的并联机制,TRPM产生三度自由的运动冗余。尽管冗余有时是有益的控制程序,但是解决TRPM的逆运动学才能通过添加一些约束来才能是可行的。结果,将存在由三个运动学方程和三个辅助方程组成的等式系统。本研究结果表明,通过将APF应用于TRPM的路径规划算法,可以跟踪正确的路径以到达目标。

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