Journal Article

·2020

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

Serhat Bayram YTU , Ali Rıfat Boynueğri YTU

Abstract

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.

Keywords

Wavelet transform Wavelet Computer science MATLAB Energy management Wiener filter Energy (signal processing) Filter (signal processing) Supercapacitor Energy management system Automotive engineering Engineering Artificial intelligence Mathematics Computer vision Capacitance

Subject Areas

Fuel Cells and Related Materials ·Electrical and Electronic Engineering ·Physical Sciences
Advanced Battery Technologies Research ·Automotive Engineering ·Physical Sciences
Hydraulic and Pneumatic Systems ·Mechanical Engineering ·Physical Sciences

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