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Optimal Energy Consumption for Mobile Manipulators Executing Door-Opening Task

机译:移动机械手执行门打开任务的最佳能耗

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As a substitute for humans, the mobile manipulator has become increasingly vital for on-site rescues at Nuclear Power Plants (NPPs) in recent years. The high energy efficiency of the mobile manipulator when executing specific rescue tasks is of great importance for the mobile manipulator. This paper focuses on the energy consumption of a robot executing the door-opening task, in a scenario mimicking an NPP rescue. We present an energy consumption optimization scheme to determine the optimal base position and joint motion of the manipulator. We developed a two-step procedure to solve the optimization problem, taking the quadric terms of the joint torques as the objective function. Firstly, the rotational motion of the door is parameterized by using piecewise fifth-order polynomials, and the parameters of the polynomials are optimized by minimizing the joint torques at the specified base position using the Quasi-Newton method. Second, the global optimal movement of the manipulator for executing the door-opening task is acquired by means of searching a grid for feasible base positions. Comprehensive door-opening experiments using a mobile manipulator platform were conducted. The effectiveness of the proposed method has been demonstrated by the results of physical experiments.
机译:作为人类的替代品,近年来,移动机械手对核电站(NPPS)的现场救援人气越来越重要。执行特定救援任务时移动机械手的高能量效率非常重要地对移动操纵器。本文侧重于执行门开放任务的机器人的能耗,在模仿NPP救援的情况下。我们提出了一种能耗优化方案,以确定操纵器的最佳基础位置和关节运动。我们开发了一个解决优化问题的两步程序,将联合扭矩的二次术语作为目标函数。首先,通过使用分段五阶多项式来参数化门的旋转运动,并且通过使用Quasi-Newton方法最小化指定基座位置处的关节扭矩来优化多项式的参数。其次,通过搜索用于可行的基地位置的网格来获取用于执行门打开任务的操纵器的全局最佳运动。进行了使用移动操纵器平台的综合门开幕实验。通过物理实验结果证明了所提出的方法的有效性。

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