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Flatness-based trajectory tracking control of a rehabilitation robot with disturbance compensation

机译:具有干扰补偿的康复机器人的基于平面度的轨迹跟踪控制

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Rehabilitation robots are an effective supplement to classical locomotion therapy, guaranteeing a high training intensity with a sufficient amount of iterations. Rehabilitation robots are developed with respect to the needs of the patients, ensuring safety and optimal training conditions. In this contribution, a control structure for a gait trainer is presented allowing unsupervised training. The controller comprises a flatness-based trajectory tracking control and a disturbance compensation. It is shown that the controller maintains an absolutely robust and, therefore, safe behavior for all kinds of disturbances, even for spasticities of the patient. Furthermore, the controller shows an elastic tracking behavior leaving space for the idiosyncrasies of the patient's gait, while granting the qualitative characteristics of the gait trajectories at all times.
机译:康复机器人是经典运动疗法的有效补充,可确保高训练强度并具有足够的迭代次数。康复机器人是根据患者需求开发的,可确保安全性和最佳训练条件。在此贡献中,提出了一种用于步态训练器的控制结构,允许无人监督训练。该控制器包括基于平坦度的轨迹跟踪控制和干扰补偿。结果表明,对于各种干扰,甚至对于患者的痉挛,控制器都保持绝对鲁棒的安全行为。此外,控制器显示出一种弹性的跟踪行为,为患者步态的特质留有空间,同时始终保持步态轨迹的定性特征。

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