Supplementary Material: Optimization of Low-weight Cargo UAV with Real-time Controller by CAD Design, FEM Simulation and Dynamic Modeling

Citation Author(s):
Mbadiwe Samuel
Benyeogor
Private Researcher
Oladayo Olufemi
Olakanmi
Department of Electrical Engineering, University of Ibadan, Ibadan, Oyo, Nigeria
Kosisochukwu Pal
Nnoli
Department of Computer Science and Electrical Engineering, Jacobs University Bremen, 28759 Bremen, Germany
Kehinde O.
Odeyemi
Department of Electrical Engineering, University of Ibadan, Ibadan, Oyo, Nigeria
Eric JJ.
Gratton
Department of Mechanical Engineering, University of Alberta, Edmonton, Canada
Submitted by:
Mbadiwe Benyeogor
Last updated:
Mon, 10/17/2022 - 19:31
DOI:
10.21227/7gkv-3h45
License:
0
0 ratings - Please login to submit your rating.

Abstract 

"In this article, we present a novel approach to designing and optimizing unmanned aerial vehicles (UAVs) to carry low-weight cargo. Various computational design techniques are involved, including the computer-aided design (CAD) of the aircraft's mechanical components and the simulation of its structural and material properties by finite elements methods (FEM). Mathematical models were also used to describe and improve the rotodynamic stability, control, and weight-carrying capacity of the UAV. Based on these, an all-aluminum UAV with a real-time controller was prototyped and test-flown severally with payloads of different weights. Results show that our UAV system is optimal and aerodynamically efficient for low-weight cargo deployment. Additional testing demonstrates the energy-efficiency and suitability of our UAV for logistical, remote sensing, and agricultural applications "(Curled from the related article).

Instructions: 

This is supplementary material for the Paper titled "Optimization of Low-weight Cargo UAV with Real-time Controller by CAD Design, FEM Simulation and Dynamic Modeling". This material encapsulates the computer-aided design and prototyping of the unmanned aerial vehicle.

Funding Agency: 
This project is funded by the Nigerian Communications Commission (NCC)
Grant Number: 
NCC/R\&D/UI/VOL.2/011