Studying the effect of current on an electric-powered ducted fan using artificial neural networks

Yousuf Faroukh; Lina Berrim; Mohammad A. AlShabi; S. Andrew Gadsden; Stephen A. Wilkerson

doi:10.1117/12.2522983

13 May 2019 Studying the effect of current on an electric-powered ducted fan using artificial neural networks

Yousuf Faroukh, Lina Berrim, Mohammad A. AlShabi, S. Andrew Gadsden, Stephen A. Wilkerson

Proceedings Volume 10979, Energy Harvesting and Storage: Materials, Devices, and Applications IX; 109790K (2019) https://doi.org/10.1117/12.2522983
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

In this paper, an experimental study is performed to find the relation between the current of a battery and the power thrust of an electric-powered ducted fan. Electric-powered duct fans are becoming increasingly popular in unmanned aerial vehicles (UAVs) and are controlled by a pulse position modulation controller. Three different measurements are taken by three transducers, namely: a multimeter with a range of 0 to 400 DC Amps that measures the input current feeding the electric speed controller from the batteries; a load cell with a range of 0 to 45 KG to measure the thrust output of each of the motor; and, a thermocouple to measure the temperature of the Li-Po batteries. Once the data was obtained, an artificial neural network was trained and tested to obtain the relationship between the input (pulse position modulation) and output (the thrust). The effects of battery current on an electric-powered ducted fan are then summarized.

Citation Download Citation

Yousuf Faroukh, Lina Berrim, Mohammad A. AlShabi, S. Andrew Gadsden, and Stephen A. Wilkerson "Studying the effect of current on an electric-powered ducted fan using artificial neural networks", Proc. SPIE 10979, Energy Harvesting and Storage: Materials, Devices, and Applications IX, 109790K (13 May 2019); https://doi.org/10.1117/12.2522983

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KEYWORDS

Fluctuations and noise

Neurons

Artificial neural networks

Amplifiers

Unmanned aerial vehicles

Modulation

Performance modeling

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