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Improved Modular UAV Autopilot Simulator for Pinguin BE Aircraft

机译:改进的模块化UAV自动驾驶仪模拟器用于Pinguin是飞机

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Unmanned Aerial Vehicle (UAV) is a tremendous popular field that will transform probably our life way in the near future. It has large civilian and military applications such as exploration, rescue, control, agriculture, health, person service and so on. The main purpose of this work is to adapt and experiment an advanced UAV autopilot from taking off, through cruise to landing for medium and small size UAV type. As big calculation capacity of miniature and low cost CPU is nowadays more and more available, we could use more developed algorithms and controllers than PID or equivalent. For the considered UAV, a nonlinear mathematical model is tailored from the literature with a feedback linearization technique law. To reduce significantly the wind gusts affecting the UAV trajectory behavior, a robust control is applied. A viewable lab-based simulator with Matlab Software is implemented. To determine the tracking performance of the UAV, we consider a given closed loop trajectory predefined with a list of 3D way-points. A modular strategy has guided the implementation of the simulator, allowing easy UAV parameter changing including aero dynamical mathematical model. This work investigates a new guidance strategy for medium and small aircraft, and presents very promising results of extensive empirical tests dealing with the parameter variation in the control framework.
机译:无人驾驶飞行器(UAV)是一个巨大的热门领域,可能会在不久的将来改变我们的生活方式。它具有大型民用和军事应用,如勘探,救援,控制,农业,健康,人员服务等。这项工作的主要目的是通过巡航来调整和试验高级无人机自动驾驶仪,通过巡航来降落中小型无人机类型。随着微型和低成本CPU的大量计算能力如今越来越可用,我们可以使用比PID或等效物更开发的算法和控制器。对于所考虑的UAV,非线性数学模型由文献中量身定制,具有反馈线性化技术法。为了显着减少影响UAV轨迹行为的风力阵风,应用了一种强大的控制。实现了具有MATLAB软件的可视基于实验室的模拟器。为了确定无人机的跟踪性能,我们考虑一个给定的闭环轨迹,其预定义的3D方式点列表。模块化策略引导了模拟器的实现,允许简单的UAV参数更改,包括Aero动态数学模型。这项工作调查了中小型飞机的新指导策略,并提出了处理控制框架参数变化的广泛实证测试的非常有前途的结果。

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