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Real time, high accuracy, relative state estimation for multiple vehicle systems.

机译:多个车辆系统的实时,高精度,相对状态估计。

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This dissertation presents the development, implementation, and test results from a new instrumentation package for relative navigation between moving vehicles. The instrumentation package on each vehicle is composed of a GPS (Global Positioning System) receiver, an IMU (Inertial Measurement Unit), a wireless communication system, and a modular computer system. The GPS places all vehicles into the same inertial reference frame and provides a common clock allowing synchronization among all instrument packages. The IMU tracks the high frequency motion of the vehicle alleviating the need for a fixed base station. The wireless communication system communicates GPS code and carrier phase measurements and computed state estimates from each vehicle at a rate fast enough to capture the dynamic changes in the vehicles. This data representing both GPS and IMU measurements from each vehicle is fused together on each vehicle to produce position, velocity and attitude estimates relative to the other vehicles. This capability to estimate relative motion without a base station appears unique. Furthermore, the application of fusion algorithms to address this new estimation problem is unique. The use of carrier phase provides very accurate relative measurements. In constructing carrier phase measurement, the integer number of wave lengths between vehicles must be resolved. Although there exist integer resolution schemes, these algorithms are ad hoe. The scheme presented here is based on generating the conditional probability of the hypothesis of each integer given the measurement sequence. This nonlinear filter is an elegant and novel contribution. The entire system is tested in real time in an experiment intended to validate the measurement accuracy. The system built using the algorithms designed in this dissertation is capable of estimating relative range to less than 5 cm. RMS, relative roll and pitch to less than 0.2 degrees RMS, and relative yaw to less than 0.7 degrees RMS. This system is designed and built for use in a formation flight drag reduction experiment. The system will be used on two F-18's at NASA Dryden to estimate the relative state between the vehicles and provide these estimates as an input to the formation flight control system.
机译:本文介绍了一种新的仪表包的开发,实施和测试结果,该仪表包用于在行驶中的车辆之间进行相对导航。每辆车上的仪器套件由GPS(全球定位系统)接收器,IMU(惯性测量单元),无线通信系统和模块化计算机系统组成。 GPS将所有车辆放置在相同的惯性参考系中,并提供一个公共时钟,允许所有仪表包之间进行同步。 IMU跟踪车辆的高频运动,从而减轻了对固定基站的需求。该无线通信系统以足够快的速率从每个车辆传递GPS代码和载波相位测量值以及计算出的状态估计值,以捕获车辆中的动态变化。代表每个车辆的GPS和IMU测量值的数据在每个车辆上融合在一起,以产生相对于其他车辆的位置,速度和姿态估计。这种无需基站即可估算相对运动的功能显得很独特。此外,融合算法在解决这一新的估计问题方面的应用是独一无二的。载波相位的使用提供了非常准确的相对测量。在构造载波相位测量时,必须解析车辆之间的整数个波长。尽管存在整数分辨率方案,但是这些算法是adhoe。此处提出的方案基于给定测量序列的情况下生成每个整数的假设的条件概率。这种非线性滤波器是一种优雅而新颖的贡献。整个系统在旨在验证测量精度的实验中进行了实时测试。使用本文设计的算法构建的系统能够估计相对范围小于5 cm。 RMS,相对横摇和俯仰小于0.2度RMS,相对偏航小于0.7度RMS。设计并构建了该系统,用于编队飞行减阻实验。该系统将在美国宇航局德莱顿的两架F-18上使用,以估计车辆之间的相对状态,并将这些估计值作为编队飞行控制系统的输入。

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