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System model of a UAV and sensor package for the measurement of sea ice freeboard, roughness, and topography.

机译:无人机和传感器套件的系统模型,用于测量海冰干舷,粗糙度和地形。

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The problem of measuring freeboard sea ice roughness and topography using a UAV and sensor package was modeled. The sensor package consists of a laser altimeter, IMU (Inertial Measurement Unit), and GPS sensor. The geometry and relevant equations for the system were developed to characterize the relationship between the sensor platform (aircraft) and the reference coordinate frame on Earth's surface.; A full 6DOF model for the Aerosonde UAV platform was developed using x-plane software by laminar research. This software utilizes the blade element theory to model the dynamic behavior of the aircraft, and required a full 3D model to be constructed with the proper geometries, weights and balances, and power of the Aerosonde UAV aircraft. An additional 6DOF model for the Aerosonde created in Simulink using flight control derivatives was obtained from the Aerosonde Company.; The two IMUs (Inertial Motion Units) from Microstrain(TM) are considered for determining the attitude of the UAV. The 3DM and 3DM-G Microstrain(TM) IMU sensors were tested statically and dynamically to determine their accuracy, variance, bandwidth, and bias. The dynamic IMU sensor testing was completed through the use of a driven rocker platform that was developed and construction specifically for testing the IMUs. The characteristics of each IMU obtained through testing were used to develop sensor simulations in Simulink. Additional sensor simulations for the GPS receiver, and the laser altimeter were also created.; A total system model of the UAV and sensor package was developed by combining the output from the aircraft simulators with the sensor package simulator and a simple flat surface model. Simulated flights over the flat surface were conducted and the error in the final solution attributed to the IMU sensor was determined. The error attributable to the tested 3DM-G IMU sensor at a flying height of 100 m is 1.2631e-2 cm with a standard deviation of 0.29 cm.
机译:对使用无人机和传感器套件测量干舷海冰粗糙度和地形的问题进行了建模。该传感器套件包括一个激光高度计,IMU(惯性测量单元)和GPS传感器。开发了系统的几何形状和相关方程,以表征传感器平台(飞机)与地球表面参考坐标系之间的关系。层流研究使用x-plane软件开发了适用于Aerosonde无人机平台的完整6DOF模型。该软件利用叶片元素理论对飞机的动态行为进行建模,并需要使用适当的几何形状,重量和平衡以及Aerosonde无人机的功率来构建完整的3D模型。从Simodlink中使用飞行控制衍生工具为Aerosonde创建了另一个6DOF模型,该模型是从Aerosonde公司获得的。考虑了来自Microstrain(TM)的两个IMU(惯性运动单元),用于确定无人机的姿态。对3DM和3DM-G Microstrain(TM)IMU传感器进行了静态和动态测试,以确定其准确性,方差,带宽和偏差。动态IMU传感器测试是通过使用专门设计用于测试IMU的驱动摇杆平台完成的。通过测试获得的每个IMU的特性都用于在Simulink中开发传感器仿真。还为GPS接收器和激光高度计创建了其他传感器模拟。通过将飞机模拟器的输出与传感器套件模拟器和简单的平面模型相结合,开发出了无人机和传感器套件的总系统模型。进行了在平坦表面上的模拟飞行,并确定了归因于IMU传感器的最终解决方案中的误差。经过测试的3DM-G IMU传感器在飞行高度100 m时产生的误差为1.2631e-2 cm,标准偏差为0.29 cm。

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