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Research on robot control system of lower limb rehabilitation robot based on human gait comfort

机译:基于步态舒适度的下肢康复机器人机器人控制系统研究

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Aiming at the comfort of wearing rehabilitation training robot for patients with lower limb movement disorder, this paper proposes a control method based on real human gait data as the reference trajectory, and designs a control strategy with the comfort of human wearable robot as the objective function, and the wearing rehabilitation training robot can realize the real-time tracking of experimental trajectory of human movement. Firstly, NOKOV motion capture system is used to collect human gait data. Then, the dynamics model of the lower limb rehabilitation training robot's unilateral leg is identified by Lagrange method, and the controller with comfort level as the objective function is designed. The feasibility of the designed control method is proved by Lyapunov stability theorem. Finally, the effectiveness of the proposed method is verified by MATLAB simulation based experimental data on the lower limb rehabilitation training robot prototype.
机译:针对穿戴式康复训练机器人对下肢运动障碍患者的舒适性,提出了一种以真实步态数据为参考轨迹的控制方法,并设计了以人体可穿戴机器人的舒适性为目标的控制策略。 ,佩戴式康复训练机器人可以实现人体运动实验轨迹的实时跟踪。首先,使用NOKOV运动捕捉系统来收集人的步态数据。然后,通过拉格朗日方法确定了下肢康复训练机器人单侧腿的动力学模型,并设计了以舒适度为目标函数的控制器。 Lyapunov稳定性定理证明了所设计控制方法的可行性。最后,通过基于MATLAB仿真的下肢康复训练机器人原型实验数据验证了该方法的有效性。

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