基于MEMs惯性传感器的双足机器人关节角测量

Rahul Ravichandran, Akshay Kumar, R. Kumar
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引用次数: 1

摘要

在具有运动肢体/部件的机器中,闭环系统的实现和有效性在很大程度上取决于测量运动程度的反馈系统-线性或旋转。本文提出了一种利用低成本惯性传感器测量关节角度的新技术,从而测量在有动力/无动力关节处转动的连杆的旋转运动。本文提出用融合在低成本惯性测量单元(imu)中的三轴加速度计和三轴陀螺仪取代光学或脉冲编码器等噪声大、效率低、分辨率差的机械传感器。该技术用于测量双足机器人各关节之间的角度,并估计其在三维空间中的完整方向。本文研究的重点是利用惯性传感器在关节角估计中的扩展能力,实现十二自由度下体双足机器人的闭环操作,该机器人具有在平面上稳定弯曲膝盖行走的潜力。两足动物的所有关节都是旋转的,便于各种四肢的旋转,如大腿、胫骨和脚,类似于人类的腿。所有链接上都安装了imu,用于拟议的任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Angle Measurement Using MEMs Based Inertial Sensors for Biped Robot
The implementation and efficacy of closed loop systems in machines with moving limbs/parts is largely dependent upon the feedback systems that measure the extent of motion - linear or rotational. This paper proposes a novel technique for measurement of joint angles and thus rotational motion for links pivoted at a powered/non-powered joint, using low-cost inertial sensors. The paper proposes the substitution of noisy, inefficient and poor resolution mechanical sensors like optical or pulse encoders with tri-axial accelerometers and tri-axial gyroscope fused in low-cost Inertial Measurement Units(IMUs). This technique is used to measure the angles between the various joints of a bipedal robot and estimate its complete orientation in three dimensional space. The crux of this paper is utilizing the extended capabilities of the inertial sensors in joint angle estimation for closed loop operation of a twelve-Degree Of Freedom(DOF) lower body biped robot with potential implementation on stable bent knee walking on flat surfaces. All the joints of the biped are revolute and facilitate rotation of various limbs like thigh, shin and foot, analogous to a human leg. All links have IMUs mounted on them for the proposed task.
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