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首页> 外文期刊>Journal of Medical Imaging and Health Informatics >Arm Exoskeleton Based on Model Predictive Control with Input/Output Feedback Linearization
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Arm Exoskeleton Based on Model Predictive Control with Input/Output Feedback Linearization

机译:具有输入/输出反馈线性化的模型预测控制的手臂外骨骼

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摘要

In this paper we discuss a two-DOFs arm exoskeleton dynamic system. Based on the dynamic characteristics of the system, the input/output feedback linearization will be adopted to obtain a linear state-space model. A model predictive control (MPC) algorithm as a control strategy is then proposed, which possesses the robustness to deal with the uncertainty and noise problems. A simulation and comparison study with other control method are also carried out. The results show that the model predictive control algorithm can provide better control performance by adjusting the control parameters and suitable for arm exoskeleton model.
机译:在本文中,我们讨论了一个两自由度臂外骨骼动力学系统。根据系统的动态特性,将采用输入/输出反馈线性化来获得线性状态空间模型。提出了一种模型预测控制(MPC)算法作为控制策略,该算法具有处理不确定性和噪声问题的鲁棒性。还进行了与其他控制方法的仿真和比较研究。结果表明,模型预测控制算法可以通过调整控制参数来提供更好的控制性能,适用于手臂外骨骼模型。

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