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      Model-free prescribed performance fixed-time control for wearable exoskeletons

      , , ,
      Applied Mathematical Modelling
      Elsevier BV

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          Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems

          A Polyakov (2012)
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            An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot.

            Many kinds of power-assist robots have been developed in order to assist self-rehabilitation and/or daily life motions of physically weak persons. Several kinds of control methods have been proposed to control the power-assist robots according to user's motion intention. In this paper, an electromyogram (EMG)-based impedance control method for an upper-limb power-assist exoskeleton robot is proposed to control the robot in accordance with the user's motion intention. The proposed method is simple, easy to design, humanlike, and adaptable to any user. A neurofuzzy matrix modifier is applied to make the controller adaptable to any users. Not only the characteristics of EMG signals but also the characteristics of human body are taken into account in the proposed method. The effectiveness of the proposed method was evaluated by the experiments.
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              Design and control of the MINDWALKER exoskeleton.

              Powered exoskeletons can empower paraplegics to stand and walk. Actively controlled hip ab/adduction (HAA) is needed for weight shift and for lateral foot placement to support dynamic balance control and to counteract disturbances in the frontal plane. Here, we describe the design, control, and preliminary evaluation of a novel exoskeleton, MINDWALKER. Besides powered hip flexion/extension and knee flexion/extension, it also has powered HAA. Each of the powered joints has a series elastic actuator, which can deliver 100 Nm torque and 1 kW power. A finite-state machine based controller provides gait assistance in both the sagittal and frontal planes. State transitions, such as stepping, can be triggered by the displacement of the Center of Mass (CoM). A novel step-width adaptation algorithm was proposed to stabilize lateral balance. We tested this exoskeleton on both healthy subjects and paraplegics. Experimental results showed that all users could successfully trigger steps by CoM displacement. The step-width adaptation algorithm could actively counteract disturbances, such as pushes. With the current implementations, stable walking without crutches has been achieved for healthy subjects but not yet for SCI paraplegics. More research and development is needed to improve the gait stability.
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                Author and article information

                Contributors
                Journal
                Applied Mathematical Modelling
                Applied Mathematical Modelling
                Elsevier BV
                0307904X
                February 2021
                February 2021
                : 90
                : 61-77
                Article
                10.1016/j.apm.2020.09.010
                a7269759-2c29-4aab-9e7d-2847a6ad0882
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

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