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A Comperative Study on Wiener Filter and Wavelet Transform for Energy Management Systems on Hybrid Unmanned Aerial Vehicles

机译:杂交无人航空公司能源管理系统维也纳滤波器和小波变换的比较研究

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Unmanned Aerial Vehicles (UAV) with electric power engines are popular research topic. Especially the hybrid powered ones with alternative energy sources are coming into prominence. However the characteristic behavior of alternative energy sources causes a need on complex Energy Management System (EMS). This paper proposes an EMS for fuel cell and ultracapacitor hybrid fixed wing UAV. So, the Wavelet transform and Wiener filter are used as two different techniques to create the EMS. In this study, the results of the Wiener Filter and Wavelet transform techniques were compared using experimental flight data. The system is modeled with MATLAB/Simulink®, the advantages and disadvantages of these methods are compared. Only, the fuel cell and ultracapacitor are used in this system for a fair comparison.
机译:无人驾驶飞行器(UAV)带电力发动机是流行的研究主题。特别是具有替代能源的混合动力人士正在突出。然而,替代能源的特征行为导致复杂的能量管理系统(EMS)。本文提出了一种用于燃料电池和超级超杂交固定翼UAV的EMS。因此,小波变换和维纳滤波器用作创建EMS的两种不同的技术。在本研究中,使用实验飞行数据进行比较维纳滤波器和小波变换技术的结果。该系统采用MATLAB /SIMULINK®建模,比较了这些方法的优点和缺点。仅,该系统中使用燃料电池和超容器进行公平比较。

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