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A safe human–robot interactive control structure with human arm movement detection for an upper-limb wearable robot used during lifting tasks

机译:一种安全的人机交互式控制结构,具有人臂运动检测,用于在提升任务期间使用的上肢可佩带机器人

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Manual lifting tasks involve repetitive raising, holding and stacking movements with heavy objects. These arm movements are notable risk factors for muscle pain, fatigue, and musculoskeletal disorders in workers. An upper-limb wearable robot, as a 6-DOF dual-arm exoskeleton, which was designed to augment workers’ strength and minimize muscular activation in the arm during repetitive lifting tasks. To adjust the robot joint trajectory, the user needs to apply an interactive torque to operate the robot during lifting tasks when a standard virtual mechanical impedance control structure is used. To reduce overshooting of the interactive torque on the user’s joint, a three-tier hierarchical control structure was developed for the robot in this study. At the highest level, a human arm movement detection module is used to detect the user’s arm motion according to the surface electromyography signals. Then, a Hammerstein adaptive virtual mechanical impedance controller is used at the middle level to reduce overshooting and yield an acceptable value of torque for the user’s elbow joint in actual lifting tasks. At the lowest level, the actuator controller on each joint of the robot controls the robot to complete lifting tasks. Several experiments were conducted, and the results showed that the interactive torque on the user’s elbow was limited and the muscular activations of erector spinae and biceps brachii muscles were effectively decreased. The proposed scheme prevents potential harm to the user due to excessive interactive torque on the human elbow joint, such as related muscle fatigue and joint injuries.
机译:手动提升任务涉及重复的升高,保持和堆叠运动,具有重物。这些臂运动是肌肉疼痛,疲劳和肌肉骨骼障碍的显着危险因素。一个上肢可穿戴机器人,作为6-DOF双臂外骨骼,设计用于增加工人的强度并在重复提升任务期间最小化臂中的肌肉激活。为了调整机器人关节轨迹,用户需要在使用标准虚拟机械阻抗控制结构时施加交互式扭矩以在提升任务期间运行机器人。为了减少用户联合上的交互式扭矩的过冲,在本研究中为机器人开发了三层层次控制结构。在最高级别,人臂移动检测模块用于根据表面电学信号信号检测用户的臂运动。然后,在中间级别使用Hammerstein自适应虚拟机械阻抗控制器以减少过冲,并在实际提升任务中为用户的弯头关节产生可接受的扭矩值。在最低水平,机器人每个接头上的执行器控制器控制机器人以完成提升任务。进行了几个实验,结果表明,使用者弯头上的交互式扭矩是有限的,并且有效地降低了抗肌孢子和二头肌肌肉的肌肉激活。由于人肘关节过度的相互作用扭矩,所提出的方案阻止了对用户的潜在伤害,例如相关的肌肉疲劳和关节伤害。

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