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ACTUATOR GAIN DISTRIBUTIONS IN SERIAL ROBOTIC MANIPULATORS TO MEET SPECIFIED TASK REQUIREMENTS

机译:执行器在串行机器人操纵器中增益分布,以满足指定的任务要求

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A serial robotic manipulator arm is a complex electromechanical system whose performance is highly characterized by its actuators. The actuator itself is a complex nonlinear system whose performance can be represented by the speed and torque capabilities of its motor and its accuracy depends on the resolution of the encoder as well as its ability to resist deformations under load. The mechanical gain associated with the transmission is critical to the overall performance of the actuator since it amplifies the motor torque thus improving the force capability of the manipulator housing it, reduces the motor speed to a suitable output speed operating range, enables an improvement in responsiveness (acceleration) and amplifies the stiffness improving the precision under load of the overall system. In this work, a basic analytic process that can be used to manage the actuator gain parameters to obtain an improved arm design based on a set of desired/required performance specifications will be laid out. Key to this analytic process is the mapping of the actuator parameters (speed, torque, stiffness and encoder resolution) to their effective values at the system output via the mechanical gains of the actuators as well as the effective mechanical gains of the manipulator. This forward mapping of the actuator parameters allows the designer to determine how each of the parameters influences the functional capacity of the serial manipulator arm. The actuator gains are then distributed along the effective length of the manipulator to determine the distribution effects on the performance capabilities of the system. The analytic formulation is used to address the issue of configuration management of serial robotic manipulators where the goal is to assemble a system from a finite set of components that meets some required performance specifications. To this end, two examples demonstrating a solution of the configuration management problem are presented. In the first, a manipulator is configured that is intended for light-duty applications while in the second, several manipulators intended for medium and heavy-duty applications are configured. The analytic process developed in this work can reduce the effort in the initial phases of the design process and the total number of design iterations can be reduced.
机译:连续机器人操纵器臂是一种复杂的机电系统,其性能具有高度特征的致动器。致动器本身是一种复杂的非线性系统,其性能可以由其电机的速度和扭矩能力表示,其精度取决于编码器的分辨率以及其抵抗负载下变形的能力。与变速器相关的机械增益对于致动器的整体性能至关重要,因为它放大了电动机扭矩,从而提高了机械手壳体的力能力,将电机速度降低到合适的输出速度操作范围,使得能够改善响应性(加速度)并放大刚度提高整个系统负载下的精度。在这项工作中,可以用于管理致动器增益参数的基本分析过程,以获得基于一组所需/所需的性能规范获得改进的臂设计。该分析过程的关键是致动器参数(速度,扭矩,刚度和编码器分辨率)通过致动器的机械增益以及操纵器的有效机械增益来映射系统输出的有效值。该执行器参数的前向映射允许设计人员确定每个参数如何影响连续机械手臂的功能容量。然后沿着操纵器的有效长度分布致动器增益以确定对系统性能能力的分布效应。分析制剂用于解决串行机器人操纵器的配置管理问题,其中目标是从满足一些所需性能规格的有限组件组装系统。为此,提出了两个示例,示出了配置管理问题解决方案的示例。首先,配置了一种用于轻型应用的机械手,而在第二中,旨在构造用于介质和重型应用的若干机械手。在本工作中开发的分析过程可以减少设计过程的初始阶段的努力,并且可以减少设计迭代的总数。

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