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Modelling of robotic leg for hemiplegic patient using biped robot

机译:使用两足机器人为偏瘫患者的机器人腿建模

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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.
机译:偏瘫患者难以保持平衡。这些技能可以借助外部电动机并使用微控制器来控制电动机的驱动来恢复。制造了在每个关节处都装有伺服电机的Biped机器人。制作了麻痹腿的粘土模型,并将其附着到身体的臀部,而两足动物的另一条腿则被建模为3-DOFRRR机器人。考虑使用原型的CAD模型来验证控制策略。在两足动物运动期间,控制策略包括COP(压力中心)平衡,CMP(质量中心)平衡和步进顺序(支撑的变化)。通过分析腿部和根轨迹图的摆动振动以检查稳定性来执行控制系统分析。通过从陀螺仪传感器获得反馈来增强稳定性控制。我使用python建立了图形界面,用于分析陀螺仪和加速度计传感器的值。绘制这些值以分析车身的动态稳定性。分析了关节速度,加速度和扭矩值。该设置在v-rap软件中模拟。经过分析,发现了极限关节角。如果车身变得不稳定,则将伺服电机驱动到极限角度,以使两足机器人始终稳定的方式对其进行编程。

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