陈万鑫, 张弼, 张庆超, 姚杰, 赵明, 赵新刚. 面向康复外骨骼的串联弹性关节设计与控制[J]. 机器人, 2023, 45(5): 554-567. DOI: 10.13973/j.cnki.robot.220122
引用本文: 陈万鑫, 张弼, 张庆超, 姚杰, 赵明, 赵新刚. 面向康复外骨骼的串联弹性关节设计与控制[J]. 机器人, 2023, 45(5): 554-567. DOI: 10.13973/j.cnki.robot.220122
CHEN Wanxin, ZHANG Bi, ZHANG Qingchao, YAO Jie, ZHAO Ming, ZHAO Xingang. Design and Control of a Series Elastic Joint for Rehabilitation Exoskeleton[J]. ROBOT, 2023, 45(5): 554-567. DOI: 10.13973/j.cnki.robot.220122
Citation: CHEN Wanxin, ZHANG Bi, ZHANG Qingchao, YAO Jie, ZHAO Ming, ZHAO Xingang. Design and Control of a Series Elastic Joint for Rehabilitation Exoskeleton[J]. ROBOT, 2023, 45(5): 554-567. DOI: 10.13973/j.cnki.robot.220122

面向康复外骨骼的串联弹性关节设计与控制

Design and Control of a Series Elastic Joint for Rehabilitation Exoskeleton

  • 摘要: 串联弹性关节为下肢康复外骨骼提供了柔顺化设计方案, 但其结构与控制的设计上仍存在诸多挑战。针对康复外骨骼的人机交互需求, 本文首先提出了一种集成了新型弹性元件的串联弹性关节, 该关节能够在实现结构柔顺性的同时, 根据外部载荷实现线性/非线性刚度切换。其次, 针对模块化关节建立了刚柔耦合动力学模型并对物理系统进行了分步解耦辨识。在模型预测控制框架下, 通过一种迭代线性化方法对非线性非凸优化问题进行控制算法设计。最后, 设计了多组轨迹跟踪实验、扰动实验, 并对系统控制带宽进行了讨论。实验结果表明, 所提出的控制方法在控制约束的条件下实现了不同参考轨迹的跟踪, 有效降低了控制能耗并抑制了外部扰动。

     

    Abstract: The serial elastic joint provides a compliant design solution for lower limb rehabilitation exoskeleton, but there are still many challenges in the design of its structure and control. Aiming at the human-robot interaction (HRI) requirements of rehabilitation exoskeletons, a series elastic joint integrated with the novel elastic element is proposed, which can realize linear/nonlinear stiffness switching subject to external loads, while achieving structural compliance. Secondly, the rigid-flexible coupling dynamic model of the modular joint is established, and a step-by-step decoupling identification of the physical system is carried out. Under the framework of model predictive control, a control algorithm is designed for nonlinear and non-convex optimization problems through an iterative linearization method. Finally, several groups of trajectory tracking experiments and disturbance experiments are conducted, and the control bandwidth of the system is discussed. Experimental results show that the proposed control method can track different reference trajectories, effectively reduce control energy consumption and suppress external disturbances under the condition of control constraints.

     

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