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Non-linear Observers for GNSS- and Camera-Aided Inertial Navigation of a Fixed-Wing UAV

机译:用于GNss和相机辅助惯性导航固定翼无人机的非线性观测器

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摘要

In this paper, exponentially stable nonlinear observers for the estimation of position, velocity, specific force, attitude, and gyro bias of a fixed-wing unmanned aerial vehicle (UAV) are proposed. The sensor suite consists of an inertial measurement unit, a global navigation satellite system receiver, a camera, an altimeter, and, possibly, auxiliary roll and pitch measurements. A first observer is designed making use of all the named sensors and is proved to be globally exponentially stable. Subsequently, the auxiliary roll and pitch measurements are removed and replaced by an additional feedback loop from the estimated attitude, and the new observer is analyzed and proved to be uniformly locally exponentially stable. An optical flow algorithm is used to calculate the UAV velocity based on the camera images, which is used as a measurement of the body-fixed velocity in the attitude observer. The performance of the observers is tested offline on simulated and experimental data.
机译:本文提出了一种指数稳定的非线性观测器,用于估计固定翼无人机的位置,速度,比力,姿态和陀螺偏向。该传感器套件包括一个惯性测量单元,一个全球导航卫星系统接收器,一个摄像机,一个高度计,以及可能的辅助侧倾和俯仰测量。设计了第一个观察者,它使用了所有命名的传感器,并被证明具有全局指数稳定性。随后,从估计的姿态中移除辅助的侧倾和俯仰测量值,并由附加的反馈回路代替,对新的观察者进行分析并证明其在局部均匀地呈指数稳定。使用光流算法基于相机图像计算无人机速度,该无人机速度用作姿态观察器中人体固定速度的测量值。观察者的表现在模拟和实验数据上进行了离线测试。

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