用EKF估算连铸机里程表的速度。数值验证

Yutaro Yonezawa, K. Sekiguchi, K. Nonaka
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引用次数: 2

摘要

本文提出了一种铸造里程表的速度估计方法。脚轮里程计是一种利用脚轮机构测量行走距离和姿态角的传感器,脚轮机构具有两自由度。我们利用脚轮里程表测量的输出来计算车辆的速度,然而,脚轮机构具有非线性成分。为了解决连铸机机构的非线性问题,采用扩展卡尔曼滤波对速度进行估计。与传统方法(近似微分、扩展Luenberger观测器)相比,该方法有望以更高的精度降低噪声的影响。通过数值模拟与传统方法的比较,验证了所提估计的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Velocity estimation using EKF for caster odometers — Numerical verification
In this paper, velocity estimation method for caster odometers is proposed. Caster odometer is a sensor of travel distance and attitude angle using caster mechanism that has two-degree of rotational freedoms. We calculate velocities of a vehicle utilizing the output measured by caster odometers, however, the caster mechanism has nonlinearity component. To deal with the nonlinearity of the caster mechanism, a velocity is estimated by the extended Kalman filter. It is expected to reduce the effect of noise with higher precision than conventional methods (approximated differentiation, extended Luenberger observer). We confirm the accuracy of the proposed estimation by comparing to the conventional method in numerical simulation.
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