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Nonlinear joint-angle feedback control of electrically stimulated and #x03BB;-controlled antagonistic muscle pairs

机译:电刺激和λ控制的拮抗肌肉对的非线性关节角反馈控制

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In order to control human limb movements in neuro-prosthetic systems, a nonlinear, model-based control strategy for torque generation by antagonistic muscle pairs is presented. The controller based on exact linearization methods enables the tracking of reference joint torque profiles and the generation of pre-defined muscular co-contractions. The controller adjusts the desired recruitment levels λ of both muscles that are controlled by two underlying λ-Controllers automatically compensating muscular fatigue. Estimates on λ are obtained from electrical stimulation evoked Electromyography (EMG)-measurements. Short-term increases of the muscular co-contractions are used to achieve an exact tracking of the accelerating joint torque also in the presence of actuation variable constraints which result from the fact that only positive muscular contractions can occur. The linearization-based controller can serve as underlying controller in cascaded control schemes for the joint-angle or velocity. The feasibility of the proposed approach was demonstrated in a simulation study as well as by a joint-angle control experiment for a healthy subject. Concluding, the authors expect that the proposed approach has a great potential for the future control of artificial limb movements also because of the possibility of modulating the system stiffness by controlled co-contractions of the muscles.
机译:为了控制神经假体系统中人的肢体运动,提出了一种非线性的,基于模型的控制策略,用于通过拮抗肌肉对产生扭矩。基于精确线性化方法的控制器可以跟踪参考关节扭矩曲线并生成预定义的肌肉收缩。控制器调整两条肌肉的所需募集水平λ,该水平由两个底层的λ控制器控制,自动补偿肌肉疲劳。 λ的估计值是通过电刺激诱发的肌电图(EMG)测量获得的。肌肉共收缩的短期增加也用于在存在致动变量约束的情况下实现对加速关节扭矩的精确跟踪,该致动变量约束是由于只能发生积极的肌肉收缩而产生的。基于线性化的控制器可以用作关节角或速度的级联控制方案中的基础控制器。仿真研究以及针对健康受试者的关节角度控制实验证明了该方法的可行性。最后,作者们认为,由于可能通过控制肌肉的共同收缩来调节系统的刚度,因此所提出的方法在未来控制人造肢体运动方面具有巨大的潜力。

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