Terrestrial Attitude Estimation for the Formation Control Testbed (FCT)

Joel Shieldst, Hannah Goldberg, Jason Kiem, Mauricio Morales, Dan Scharf
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引用次数: 3

Abstract

In this paper we look at the problem of terrestrial (earth based) attitude estimation of a unique robotic vehicle using full three axis attitude measurements and three axis inertial rate sensors (gyros). The vehicle is completely autonomous and uses air bearings to simulate the drag free dynamic environment of space. An onboard infrared camera system is used to provide quaternion measurements representing the attitude of the robot relative to the room frame of the test facility. Fiber optic gyros are used to sense the inertial angular rates. To simulate the performance of the system, a stochastic model of the gyros was developed based on long term rate table data. The angle random walk, bias, and bias stability were determined to agree with the data provided in the manufactures specification sheet. We show that a 3times reduction in the standard deviation of the attitude estimates can be achieved by proper mixing of the two sensor measurements. The attitude estimation algorithm used in this paper also provides bias free estimates of the angular rate which can be used for control or other purposes. These results are established in both high fidelity simulations and experimentally using data taken during real time operation of the robot.
编队控制试验台(FCT)地面姿态估计
在本文中,我们着眼于地面(基于地球的)姿态估计问题的一个独特的机器人车辆使用全三轴姿态测量和三轴惯性速率传感器(陀螺)。该飞行器是完全自主的,并使用空气轴承来模拟空间的无阻力动态环境。机载红外摄像系统用于提供四元数测量,表示机器人相对于测试设备的房间框架的姿态。采用光纤陀螺检测惯性角速率。为了模拟系统的性能,基于长期速率表数据建立了陀螺的随机模型。角度随机游走、偏置和偏置稳定性被确定为与制造商规格表中提供的数据一致。我们表明,通过适当混合两个传感器测量,可以实现姿态估计的标准差降低3倍。本文所采用的姿态估计算法还提供了角速率的无偏差估计,可用于控制或其他目的。这些结果是在高保真仿真和实验中建立的,使用了机器人实时运行时的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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