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Nonlinear Observer for Tightly Coupled Integrated Inertial Navigation Aided by RTK-GNSS Measurements

机译:用于RTK-GNSS测量的紧密耦合集成惯性导航的非线性观测器

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摘要

A modular nonlinear observer is considered for tightly coupled integration of inertial measurements with global satellite measurements. A real-time-kinematic (RTK) approach is utilized where the rover and base station measure pseudoranges, carrier-phase, and carrier-phase derived Doppler, to be used in a dual receiver configuration. The modular observer design consists of a nonlinear attitude observer and a translational motion observer (TMO). The attitude observer represents the vehicle attitude as unit quaternions and estimates the gyro bias. A TMO based on the double-differenced measurements between the rover and base station receiver is proposed. The ambiguities introduced by the carrier-phase measurements are included in the state vector and are initially considered real valued, later to be resolved to integer values. The advantages of the nonlinear observer compared with a Kalman filter are reduced computational load, no linearization requirement of the model, and proven stability. The proposed observer is verified using experimental data from flights with an unmanned aerial vehicle, where the position estimates are shown to be within 2-4 cm of a global positioning system L-1-based RTK reference solution.
机译:考虑模块化非线性观察者,用于用全球卫星测量紧密地耦合惯性测量的整合。利用Rover和基站测量伪音,载波相位和载波相位导出的多普勒以用于双接收器配置的实时运动(RTK)方法。模块化观察器设计包括非线性姿态观察者和翻译运动观察者(TMO)。态度观察者代表了车辆态度作为单位四元数,估计陀螺偏见。提出了基于流动站和基站接收器之间的双差别测量的TMO。由载波阶段测量引入的歧义包含在状态向量中,并且最初被认为是真实的值,后来将解析为整数值。与卡尔曼滤波器相比的非线性观测器的优点是计算负荷减少,模型的线性化要求,并证明了稳定性。拟议的观察者使用来自无人机车辆的飞行的实验数据验证,其中位置估计显示在全球定位系统L-1的RTK参考解决方案的2-4厘米处。

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