基于尼龙的智能力传感器数学模型提取与状态空间构建

S. Rezaeian, Ahmad Reza Alghooneh, A. Yousefi-Koma, Reyhaneh HosseiniNejad
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引用次数: 1

摘要

近年来,扭曲和盘绕式执行机构已得到广泛应用。与传统的作动器相比,它具有许多优点,特别是在生物力学应用方面。然而,限制该致动器使用的最重大挑战是其用于致动和自传感应用的未知行为。本文从理论概念和实验数据出发,建立了扭盘作动器的模型。首先阐述了制备过程,然后通过LS辨识法推导了电压-电流和电流-力的数学模型。在结果部分,将使用测量的电流和传热方程估计该执行器的温度。实验结果表明,该模型可用于未来需要温度控制的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Model Extraction and State Space Construction for Nylon Based Smart Force Sensor
Twisted and Coiled Actuator has become widespread in recent years. It has lots of merits in comparison to classical actuators, especially in biomechanical applications. However, the most significant challenge which limits the use of this actuator is the unknown behavior of it for actuating and also self-sensing application. In this paper, we will represent a model for Twisted and Coiled Actuator by means of theoretical concepts and experimental data. First, the preparation process will be explained, then the mathematical model for Voltage-Current and Current-Force will be driven via LS identification method. In the result section, the temperature of this actuator will be estimated using measured current and heat transfer equation. Then it will be validated by experiment which shows that this model can be exploited for future applications in which control of the temperature is necessary.
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