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Robust Active Disturbance Rejection Control via Control Lyapunov Functions: Application to Actuated-Ankle-Foot-Orthosis

机译:通过控制李雅普诺夫功能进行鲁棒的主动干扰抑制控制:在脚踝矫形器中的应用

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摘要

In this paper, the problem of trajectory tracking, for an Actuated-Ankle-Foot-Orthosis (AAFO) to assist the gait of paretic patients, is addressed. The control strategy is based on the system's flatness property, which allows the development of an Active Disturbance Rejection Control (ADRC). For this purpose, an Extended State Observer (ESO) is designed to estimate on-line the unknown disturbances and canceled by injecting the output of ESO into the feedback loop. A stability analysis of the estimation error dynamics is carried out in the Input-to State Stability (ISS) framework, stating the observer's robustness. On the other hand, the feedback design is based on the existence of a Control Lyapunov Function (CLF) and the Sontag's formula. The stability analysis discloses that the tracking trajectory controller is ISS, i.e. robustly stable. Finally, the effectiveness of the ADRC strategy is validated by performing real-time tests with a healthy subject walking on a treadmill at self-selected speed. The experimental results validate the theoretical analysis.
机译:在本文中,解决了脚踝矫形器(AAFO)辅助步态患者步态的轨迹跟踪问题。控制策略基于系统的平坦度属性,这允许开发主动干扰抑制控制(ADRC)。为此,设计了扩展状态观察器(ESO)来在线估计未知干扰,并通过将ESO的输出注入反馈环路来消除这种干扰。在输入状态稳定性(ISS)框架中对估计误差动态进行了稳定性分析,表明观察者的鲁棒性。另一方面,反馈设计基于Control Lyapunov函数(CLF)和Sontag公式的存在。稳定性分析公开了跟踪轨迹控制器是ISS,即鲁棒稳定的。最后,通过对健康受试者以自行选择的速度在跑步机上行走进行实时测试,来验证ADRC策略的有效性。实验结果验证了理论分析。

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