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

机译:RTK-GNSS测量辅助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:考虑将模块化非线性观测器用于将惯性测量与整体卫星测量紧密结合在一起。利用实时运动(RTK)方法,其中流动站和基站测量拟在双接收机配置中使用的伪距,载波相位和载波相位导出的多普勒。模块化观察器设计由非线性姿态观察器和平移运动观察器(TMO)组成。姿态观察器将车辆姿态表示为单位四元数,并估计陀螺仪偏差。提出了一种基于流动站与基站接收机之间双差测量的TMO。载波相位测量引入的模糊度包含在状态向量中,最初被认为是实数值,随后将其解析为整数值。与Kalman滤波器相比,非线性观测器的优势在于减少了计算量,对模型没有线性化要求以及已证明的稳定性。拟议的观察员使用无人驾驶飞机的飞行实验数据进行了验证,其位置估计值显示在基于全球定位系统L-1的RTK参考解决方案的2-4 cm之内。

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