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首页> 外文期刊>Neural computing & applications >Controller design for upper limb motion using measurements of shoulder, elbow and wrist joints
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Controller design for upper limb motion using measurements of shoulder, elbow and wrist joints

机译:使用肩部,肘部和腕关节测量的上肢运动的控制器设计

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摘要

Passive exercises are implemented by physiotherapists to people who have movement functionality loss due to any reason at their limbs for recovering all or a part of movement functionality. Physiotherapists are constantly repeating the passive therapy movements with patients. Nowadays, rehabilitation devices which are capable of repeating therapy exercises and control techniques for that device are developing. For this reason, controller design for the angular trajectory of human shoulder, elbow and wrist joints is presented in this paper. This paper consists of two parts. At first part, patients who had loss of function at their upper limbs were identified and shoulder, elbow and wrist angular displacement parameters were obtained by means of sensors. At second part, three control structures were selected for tracking shoulder, elbow and wrist angle trajectories. According to the experimental and simulation results, neural network-based PID control structure is the best controller on tracking given trajectories.
机译:被动锻炼是由物理治疗师实施,因为他们的肢体的任何原因,用于恢复全部或一部分运动功能的原因。物理治疗师不断重复与患者的被动治疗运动。如今,能够重复治疗练习的康复装置和用于该装置的控制技术正在开发。因此,本文介绍了人肩部,弯头和腕带角轨迹的控制器设计。本文由两部分组成。在第一部分,通过传感器获得肩部,肩部,肘部和腕部角位移参数识别出在其上肢失去的患者。在第二部分时,选择三个控制结构用于跟踪肩部,弯头和腕角轨迹。根据实验和仿真结果,基于神经网络的PID控制结构是跟踪给定轨迹的最佳控制器。

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