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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >A dynamic model parameter identification method for quadrotors using flight data
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A dynamic model parameter identification method for quadrotors using flight data

机译:基于飞行数据的四旋翼动力学模型参数辨识方法

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摘要

The dynamic model parameter identification is important for unmanned aerial vehicle modeling and control. The unmanned aerial vehicle model parameters are usually identified through wind tunnel experiments, which are complex. In this paper, a model parameter identification method is proposed using the flight data for quadrotors. The parameters of the thrust, drag force, torque, rolling moment and pitching moment are estimated through Kalman filter. Global positioning system and inertial sensors are used as measurements. The observabilities of the model parameters and their degrees of observability are analyzed. Flight experiments are carried out to verify the proposed method. It is shown that the model parameters estimated by the proposed method have good accuracies, demonstrating the validity of the proposed method.
机译:动态模型参数识别对于无人机建模和控制很重要。通常通过风洞实验来识别无人机模型参数,这很复杂。本文提出了一种基于四旋翼飞行数据的模型参数辨识方法。通过卡尔曼滤波器估计推力,阻力,扭矩,滚动力矩和俯仰力矩的参数。使用全球定位系统和惯性传感器进行测量。分析了模型参数的可观察性及其可观察度。进行飞行实验以验证所提出的方法。结果表明,所提方法估计的模型参数具有较好的准确性,证明了所提方法的有效性。

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