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High-speed 6-DOF structural displacement monitoring by fusing ViSP (Visually Servoed Paired structured light system) and IMU with extended Kalman filter

机译:通过将ViSP(视觉伺服成对结构光系统)和IMU与扩展的Kalman滤波器融合来进行高速6自由度结构位移监测

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摘要

In previous studies, a visually servoed paired structured light system (ViSP) was proposed to estimate structural displacement with high accuracy at low cost. Although the performance of the system has been verified from various simulations and experimental tests, it has a limitation that high-speed dynamic displacement cannot be measured properly due to the relatively low sampling rate. To speed up ViSP, in this paper, an inertial measurement unit (IMU) with a high sampling rate is concurrently used with ViSP in a Kalman filtering framework. By combining measured accelerations and angular velocities from the IMU with the estimated 6-DOF displacement from ViSP, high-speed structural movement can be monitored with high accuracy. In the proposed data fusion method, named ViSP-IMU, random biases of the IMU are calibrated by using the estimated displacement results from ViSP-IMU. We perform experimental tests and verify the efficacy of the proposed algorithm as a promising structural displacement estimation method which guarantees high accuracy and a high sampling rate. Also, the proposed bias compensation method can effectively reduce the displacement estimation error by minimizing the difference between estimated displacements from the IMU and ViSP-IMU. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:在先前的研究中,提出了一种视觉伺服成对结构光系统(ViSP),以低成本高精度估算结构位移。尽管已通过各种模拟和实验测试验证了系统的性能,但由于相对较低的采样率,无法正确测量高速动态位移仍然存在局限性。为了加快ViSP,本文在Kalman滤波框架中将具有高采样率的惯性测量单元(IMU)与ViSP同时使用。通过将来自IMU的测得的加速度和角速度与来自ViSP的估计的6自由度位移相结合,可以高精度监视高速结构运动。在提出的数据融合方法ViSP-IMU中,通过使用ViSP-IMU的估计位移结果来校准IMU的随机偏差。我们进行了实验测试,并验证了所提算法作为一种有前途的结构位移估计方法的有效性,该方法可以保证高精度和高采样率。而且,所提出的偏置补偿方法可以通过最小化来自IMU和ViSP-IMU的估计位移之间的差异来有效地减少位移估计误差。版权所有(c)2016 John Wiley&Sons,Ltd.

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