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Estimation of a gaseous release into the atmosphere using a formation of UAVs

机译:利用无人飞行器估算进入大气的气体

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Abstract: The real-time estimation of a gaseous plume that results from gas released into the atmosphere by a moving aerial source is presented. The approach is utilizing a group of UAVs equipped with gas concentration sensors onboard and the concentration measurements are used in an estimation scheme in the form of a Luenberger observer. The estimator is modeled as the advection-diffusion equation, which is solved numerically in real-time using a finite volume method on a dynamically adapted computational grid. The UAVs maintain a rigid flying formation, with the control signals for the leader being provided by the Lyapunov-redesign method, which couples the UAV dynamics to the performance of the estimator. The follower UAVs provide plant information to the estimator and also compute the spatial gradients necessary for the implementation of the guidance scheme. Numerical examples illustrate the performance of the proposed approach.
机译:摘要:提出了一种实时估计气态羽流的方法,该气态羽流是由移动的空气源释放到大气中而产生的。该方法利用了一组机载装有气体浓度传感器的无人机,浓度测量以Luenberger观测器的形式用于估计方案中。估计器被建模为对流扩散方程,该方程在有限的动态适应计算网格上使用有限体积方法实时数值求解。无人机保持了坚硬的飞行形态,利雅普诺夫重新设计方法为机长提供了控制信号,该方法将无人机动力学与估算器的性能相结合。追随者无人机向估计器提供植物信息,并计算实施制导方案所需的空间梯度。数值例子说明了该方法的性能。

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