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A NEW IMU-BASED METHOD FOR RELATIVE POSE DETERMINATION

机译:一种新的基于IMU的相对姿态确定方法

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摘要

An increasing number of precision measurement or detection sensors are distributed on the motion platforms and work jointly to improve the mission performance, which to a great extent depends on the accuracy of the local or relative pose between key sensors. Normally, an inertial measurement unit (IMU) is applied and is installed just at the sensor position to sense the local motion. Conventionally, two IMUs on two separate locations apply INS function for relative pose determination which needs a global coordinate system (usually the local level frame) as a transition. In this paper, we present a new inertial-based method to determine the relative pose of the two IMUs without the necessity of using the global frame. Firstly, relative attitude quaternion, relative velocity and relative position differential equations are derived and the solution for the equations is given. Then the relative attitude, velocity and position error propagation functions are presented, which can be estimated by filters if appropriate measurement exists. Finally, the technique of applying this method into transfer alignment (TA) is given and evaluated through mathematic simulation. Results show that this method can provide an accurate estimate of relative pose between critical positions with high accuracy.
机译:越来越多的精度测量或检测传感器分布在运动平台上并共同工作,以提高任务性能,在很大程度上取决于键传感器之间的局部或相对姿势的精度。通常,施加惯性测量单元(IMU)并安装在传感器位置以感测局部运动。传统上,两个单独位置上的两个IMU适用于需要全局坐标系(通常是本地级别帧)作为转变的相对姿态确定的INS功能。在本文中,我们提出了一种新的基于惯性方法来确定两个IMU的相对姿势,而不使用全局帧的必要性。首先,推导相对姿态,相对速度和相对位置微分方程,并给出了方程的解决方案。然后提出了相对姿态,速度和位置误差传播功能,如果存在适当的测量,可以通过滤波器估计。最后,通过数学模拟给出并评估将该方法应用于转移对准(TA)的技术。结果表明,该方法可以在高精度之间提供对临界位置之间的相对姿势的准确估计。

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