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Image Based Visual Servo control for Fixed Wing UAVs tracking linear infrastructure in wind

机译:基于图像的视觉伺服控制,用于固定翼无人机跟踪风中的线性基础设施

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摘要

This paper presents an Image Based Visual Servo control design for Fixed Wing Unmanned Aerial Vehicles tracking locally linear infrastructure in the presence of wind using a body fixed imaging sensor. Visual servoing offers improved data collection by posing the tracking task as one of controlling a feature as viewed by the inspection sensor, although is complicated by the introduction of wind as aircraft heading and course angle no longer align. In this work it is shown that the effects of wind alter the desired line angle required for continuous tracking to equal the wind correction angle as would be calculated to set a desired course. A control solution is then sort by linearizing the interaction matrix about the new feature pose such that kinematics of the feature can be augmented with the lateral dynamics of the aircraft, from which a state feedback control design is developed. Simulation results are presented comparing no compensation, integral control and the proposed controller using the wind correction angle, followed by an assessment of response to atmospheric disturbances in the form of turbulence and wind gusts
机译:本文提出了一种基于图像的视觉伺服控制设计,该技术用于固定翼无人飞行器使用人体固定成像传感器在有风的情况下跟踪局部线性基础设施。视觉伺服通过将跟踪任务作为检查传感器观察到的控制特征之一来提供改进的数据收集,尽管由于飞机航向和航向角不再对齐而引入了风,这使视觉伺服变得更为复杂。在这项工作中,示出了风的影响将连续跟踪所需的期望线角改变为等于将被校正以设置期望路线的风力校正角。然后,通过使交互矩阵围绕新的特征姿势线性化来对控制解决方案进行分类,以便可以利用飞机的横向动力学来增强特征的运动学,从而开发出状态反馈控制设计。给出了仿真结果,比较了无补偿,积分控制和使用风校正角的建议控制器,然后评估了对湍流和阵风形式的大气干扰的响应

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