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Non-linear estimation of the flexural lever arm for transfer alignment of airborne distributed position and orientation system

机译:用于机载分布式位置和定向系统传递对准的挠曲杠杆臂的非线性估计

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摘要

As the development of aerial mapping, obtaining the motion parameters of the mapping sensors mounted under the flexural wing of the aircraft is necessary to accomplish the mission. Airborne distributed position and orientation system (DPOS) could be applicable which is composed of master inertial navigation system (INS), several slave INSs and the global positioning system. The slave INS is mounted on the mapping sensor for measuring the motion parameters. However, the flexural deformation of the wing will impose critical influence on the transfer alignment between master and slave INSs. The formed flexural lever arm should be compensated precisely. A non-linear relation between the flexural angle and flexural lever arm variation is proposed, and a novel 27-state non-linear model is established for transfer alignment of airborne DPOS. The non-linear measurement equation of angular rate is derived based on three successive rotations of the body frame of the master INS. Unscented Kalman filter is utilised as the non-linear estimator for its capability of non-linear approximation. It is shown from the simulation results that the proposed method can estimate the flexural angles and flexural lever arm variations more accurately, and the attitude and position accuracy of slave INS is also improved correspondingly.
机译:随着航空制图的发展,获得安装在飞机挠性机翼下的测绘传感器的运动参数对于完成任务是必要的。机载分布式定位系统(DPOS)可以适用,它由主惯性导航系统(INS),几个从属INS和全球定位系统组成。从属INS安装在映射传感器上,用于测量运动参数。但是,机翼的弯曲变形将对主从INS之间的传递对准产生关键影响。形成的弯曲杠杆臂应精确补偿。提出了挠曲角与挠曲杆臂变化之间的非线性关系,建立了机载DPOS传递对准的新型27态非线性模型。基于主INS车身框架的三个连续旋转,得出角速度的非线性测量方程。 Unscented卡尔曼滤波器因其非线性逼近能力而被用作非线性估计器。仿真结果表明,所提出的方法可以更准确地估计挠曲角和挠曲杆臂的变化,并且相应地提高了从动INS的姿态和位置精度。

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