多维系统建模及其在机器人开发中的应用

T. Maiti, Y. Ochi, M. Miura-Mattausch, D. Navarro, H. Mattausch
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引用次数: 0

摘要

本文讨论了我们在多维系统建模方面的研究成果及其在机器人开发中的应用。该模型考虑了机器人系统仿真的多维方面,具有笛卡尔和极系统运动学的特点。因此,除了用于机器人控制的电耦合外,模型还包括机电耦合行为传感器(如压力传感器)和执行器(如伺服电机)。传感器的机电耦合仅限于二维空间,即结构场和电场,它们在笛卡尔坐标系下处理传感器的运动行为。执行器的机电耦合通过保持机电域之间的能量守恒关系,将电气和旋转运动学结合起来。在极坐标系中实现了伺服电机的轴角、速度、加速度和转矩等旋转运动学量。我们演示了一个机器人系统仿真与开发的模型,以改善步行机器人的运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of multi-dimensional system and its application for robot development
In this presentation, our achievement on multi-dimensional system modeling and its application for robot development are discussed. The model considers multi-dimensional aspect of robot-system simulation, characterized by the nature of both Cartesian and polar systems kinematics. Thus model includes electro-mechanical coupling behavior sensor (e.g., pressures sensor) and actuator (e.g., servo motor) in addition to the electrical coupling for the robot control. The electro-mechanical coupling of a sensor is confined to two-dimensional spaces which are structural and electric fields that handle its kinematic behaviour in Cartesian coordinate system. The actuator electro-mechanical coupling combines the electrical and rotational kinematic by preserving energy conservation relation between electrical and mechanical domains. The rotational kinematic quantities of servo-motor such as shaft angle, velocity, acceleration and torque are implemented in polar coordinate system. We demonstrate a robot-system simulation with the developed model to improve the motion of a walking robot.
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