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AN OPTIMIZATION-BASED APPROACH FOR PROSTHESIS DYNAMIC MODELING AND PARAMETER IDENTIFICATION

机译:基于优化的假体动力学建模和参数识别方法

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In this paper, we propose an effective approach to model the prosthetic leg dynamics for amputees wearing active-transfemoral prosthesis (ATP) which is self-powered. To accommodate unexpected effects of thigh on knee joints, the dynamic prosthesis model has been derived using both the thigh-knee-shank and the knee-shank configurations. Correlated with the amputee's walking data, a nonlinear optimization problem is then formulated to identify the model parameters and the gains of the PD controller which is used to control the input torque for the ATP, while reducing measurement errors of the data. Moreover, the identified models are validated by comparing the predicted dynamics with experimental measurements. The advantages of proposed method in terms of simplicity, flexibility, and accuracy are demonstrated by the high correlation coefficients and the low root-mean-square errors.
机译:在本文中,我们提出了一种有效的方法来为穿上主动式股动脉假体(ATP)的截肢者的假肢动力学建模。为了适应大腿对膝关节的意外影响,已使用大腿-膝盖-胫骨和膝盖-胫骨构型导出了动态假体模型。与截肢者的行走数据相关,然后提出一个非线性优化问题,以识别模型参数和PD控制器的增益,该控制器用于控制ATP的输入扭矩,同时减少数据的测量误差。此外,通过将预测的动力学与实验测量值进行比较,可以验证所识别的模型。高相关系数和低均方根误差证明了该方法在简单性,灵活性和准确性方面的优势。

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