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首页> 外文期刊>International Journal of Engineering Science and Technology >DESIGN OF AUGMENTED EKF FOR SHAPE MEMORY ALLOY ACTUATED MANIPULATOR
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DESIGN OF AUGMENTED EKF FOR SHAPE MEMORY ALLOY ACTUATED MANIPULATOR

机译:形状记忆合金致动机械手的增强型EKF设计

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摘要

This paper presents a new setup and investigates an Augmented Extended Kalman Filter designed to observe states of a single degree of freedom manipulator actuated by Shape Memory Alloy. Shape Memory Alloys (SMAs) have been widely used in robotic field because of their unique mechanical and electrical characteristics. Measuring the parameters of the SMA actuated manipulator is difficult due to small size of SMA wire. In this case an observer is a proper alternative to estimate the states, through which Extended Kalman Filter (EKF) seems to be a proper choice because it works well with noisy measurement and model inaccuracies. Furthermore some mechanical parameters of the manipulator may not be precisely known which lead to systematic errors. The problem could be solved by considering parameters as augmented states to be estimated, which is the basis of Augmented Extended Kalman Filter (AEKF). Simulation results show the effectiveness of the proposed Filter.
机译:本文介绍了一种新的设置,并研究了增强扩展卡尔曼滤波器,该滤波器旨在观察由形状记忆合金驱动的单自由度机械手的状态。形状记忆合金(SMA)由于其独特的机械和电气特性已被广泛用于机器人领域。由于SMA线的尺寸较小,因此很难测量SMA驱动的机械手的参数。在这种情况下,观察者是估计状态的合适选择,通过扩展卡尔曼滤波器(EKF)似乎是合适的选择,因为它可以很好地处理噪声测量和模型不准确的情况。此外,可能无法精确地知道机械手的某些机械参数,这会导致系统错误。可以通过将参数视为要估计的扩充状态来解决该问题,这是增强扩展卡尔曼滤波器(AEKF)的基础。仿真结果表明了所提滤波器的有效性。

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