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WIND ESTIMATION FOR A QUADROTOR HELICOPTER IN A MODEL-AIDED NAVIGATION SYSTEM

机译:模型导航系统中准直升机的风估计

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Unmanned aerial vehicles (UAVs) typically rely on low-cost MEMS inertial measurement units (IMUs) for navigation purposes. However, GNSS outages provide a challenge as the navigation solution quickly deteriorates. A previously presented model-aided navigation system for a quadrotor helicopter shows low positioning errors during purely inertial flights. Since the vehicle dynamics model does not account for wind occurring in outdoor flights, estimating the wind velocity becomes necessary. In this paper, different models for estimating the wind velocity are presented and evaluated. Simulation results show that the wind velocity estimation is accurate, even with a low-grade IMU, GNSS, and no additional sensors such as an air speedometer. During GNSS outages, the new approach significantly outperforms the existing vehicle dynamics model and the pure INS solution.
机译:无人机(UAV)通常依靠低成本的MEMS惯性测量单元(IMU)进行导航。但是,随着导航解决方案的快速恶化,GNSS中断给我们带来了挑战。先前介绍的用于四旋翼直升机的模型辅助导航系统在纯惯性飞行期间显示出较低的定位误差。由于车辆动力学模型不考虑室外飞行中发生的风,因此估计风速变得很有必要。在本文中,提出并评估了用于估计风速的不同模型。仿真结果表明,即使使用低级IMU,GNSS,并且没有其他传感器(如空气速度计),风速估算也是准确的。在GNSS中断期间,新方法大大优于现有的车辆动力学模型和纯INS解决方案。

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