Modelling of robotic leg for hemiplegic patient using biped robot

Prudhvi Thirumalaraju, K. Sandeep, D. Kumar, A. Dash
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引用次数: 1

Abstract

Patients with hemiparesis have difficulties maintaining their balance. These skills can be regained with the aid of external motors and using a microcontroller to control the actuation of the motors. A biped robot with servo motors attached at each joint is fabricated. A clay model of the paralytic leg is made and attached to the hip of the body and the other leg of the biped is modelled as a 3-DOF RRR robot. A CAD model of the prototype was considered for verifying the control strategies. The control strategies include COP (Centre of Pressure) balancing, CMP (Centre of Mass) balancing and stepping sequence (change of support) during the motion of the biped. The control system analysis is performed by analyzing the swing vibration of the leg and root locus plot for checking stability. The stability control is enhanced by taking feedback from gyroscope sensor. A graphical interface is made my using python for analyzing the values from gyroscope and accelerometer sensor. These values are plotted for analyzing the dynamic stability of the body. The joint velocities, acceleration and torque values are analyzed. The setup is simulated in v-rap software. After the analysis, the limiting joint angles were found. The servo motors are actuated to the limiting angles if the body becomes unstable, the biped robot is programmed in a way that it is always stable.
利用双足机器人对偏瘫患者机械腿进行建模
偏瘫患者很难保持平衡。这些技能可以在外部电机的帮助下重新获得,并使用微控制器来控制电机的驱动。制作了一个双足机器人,每个关节都附有伺服电机。制作瘫痪腿的粘土模型并连接到身体的臀部,两足动物的另一条腿被建模为3-DOF RRR机器人。为验证控制策略,建立了样机的CAD模型。控制策略包括压力中心平衡(COP)、质心平衡(CMP)和步进顺序(改变支撑点)。通过分析腿的摆动振动和根轨迹图对控制系统进行稳定性校核。采用陀螺仪传感器反馈,增强了系统的稳定性控制。用python编写了一个图形界面,用于分析陀螺仪和加速度计传感器的值。绘制这些值是为了分析物体的动态稳定性。分析了关节的速度、加速度和扭矩值。在v-rap软件中模拟了该设置。通过分析,确定了接头的极限角。如果身体变得不稳定,伺服电机被驱动到极限角度,双足机器人的编程方式使其始终稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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