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Multi-muscle FES control of the human arm for interaction tasks—Stabilizing with muscle co-contraction and postural adjustment: A simulation study

机译:用于交互任务的人手臂多肌肉FES控制-通过肌肉共收缩和姿势调整来稳定:模拟研究

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In this paper we present a method to stimulate multiple muscles in a human arm to perform interaction tasks, using an implanted Functional Electrical Stimulation (FES) neuroprosthesis. The unstable effect arising from interaction tasks is considered, and the arm stability is directly treated as one of the control objectives in the controller design. By exploiting the kinematic and muscular redundancy of the system, we can control the interaction force and the arm's stiffness property simultaneously, thus ensuring the stable execution of interaction tasks. A representative example of such interaction tasks, namely the “pushing with a stick” task, is simulated. It is found that using our proposed controller, as compared to a previously developed feedforward FES controller that does not consider arm stiffness or stability, the stability of the arm is guaranteed while the task of force control is correctly achieved.
机译:在本文中,我们提出了一种使用植入的功能性电刺激(FES)神经假体刺激人手臂中多块肌肉以执行交互任务的方法。考虑了由交互任务引起的不稳定影响,并且将手臂稳定性直接视为控制器设计中的控制目标之一。通过利用系统的运动学和肌肉冗余,我们可以同时控制交互作用力和手臂的刚度属性,从而确保交互任务的稳定执行。模拟了此类交互任务的代表性示例,即“推杆”任务。已经发现,与先前开发的不考虑臂的刚度或稳定性的前馈FES控制器相比,使用我们提出的控制器可以保证臂的稳定性,同时可以正确地完成力控制任务。

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