Autonomous Quadcopter for Product Home Delivery
Md R Haque, M Muhammad, D Swarnaker and M Arifuzzaman
Department of Aeronautical Engineering, Military Institute of Science and Technology
Dhaka, Bangladesh.
ABSTRACT
This paper represents Quadcopter (QC) as a low-weight and lowcost autonomous flight capable Unmanned Aerial Vehicle (UAV)
for delivering parcel ordered by online by using an android device
as its core on-board processing unit. Therefore, this method is
independent from additional ground hardware and if required, QC
core unit can be easily replaced with powerful hardware to
simplify setup updates and maintenance. This QC by following
Google map can locate and navigate destination. This paper
demonstrates the QCs capability of delivering parcel ordered by
online and coming back to the starting place. The promising result
of this method enables future research on using QC for delivering
parcel using mobile hardware as the only on-board processing unit.
PRINCIPLE OF OPERATION
ON BOARD CONTROL SYSTEM
All four rotors are located within the same plane and oriented
such that the thrust generated by each rotor is perpendicular to
the vehicle
The angular momentum of any of the four rotors generates a
torque about the inertial center of mass of the vehicle which can
be effectively counterbalanced by the torque created from the
opposing rotors spin.
There are two types of opposing rotors configuration:
“+”configuration and “x” configuration.
The QC is unable to perform at long distance range due to limited
amount of power supply from Lithium polymer battery. Increment
of power source will increase the range. But at the same time it
will raise the empty mass resulting low payload capacity. Besides,
it may exceed the maximum mass limit; the QC is capable of
flying. For this reason, the paper is proposing to serve only one
customer at a time. Furthermore, a lot of QCs deployed in a single
area needs an air traffic management system which requires further
research.
CONCLUSION
This paper deals with a systematic process of online delivery with
an autonomous QC using an interfaced android device as its core
processing unit. QC will deliver the parcel to the customer by
following Google map which will reduce both time and manpower
using for delivery. Battery power will be replaced by solar system
as a power source in future. This process will be continued to
optimize the cost of delivering products through QC so that poor
people can use these systems more easily.
OBJECTIVE AND OVERVIEW OF OPERATION
The main objective is to ensure timely delivery of products by
using autonomous QC. After the order has been placed, QC will be
loaded with the product. Then, QC will start to fly towards its
given direction by following GPS map. After reaching its desired
location it will confirm its customer and drop the parcel and get
back to the starting point through the same route. Complete
operation of delivery service via QC can be categorized by
following phases shown in figure below:
LIMITATIONS & SCOPE OF FUTURE RESEARCH
REFERENCE
STRUCTURAL & ELECTRICAL COMPONENT
OFF BOARD CONTROL SYSTEM
QC is designed to have four arms which provide the body a stable
balance. Each arm is associated with one motor of 3350 rpm/v
comprising total four motors. Each motor is associated with one
propeller of APC electronic E series of 14 inch diameter and 10
pitch. Each motor is connected with one Electronic Speed
Controller (ESC).
Off board control system consists of a computer of the control
room of the local office and the mobile phone of the user. The
computer of the control room provides necessary data to the GPS
in the QC after. Computer of the control room will also monitor the
position of the QC during transportation via GPS with the help of
internet.
PERFORMANCE TESTING
To estimate the flight time of the QC with various loads, actual
flight test has been done with loads ranging from 0 grams to 300
grams. The results of the test are shown in Table-II. During the test
the QC was flown at approximately fifty feet off the ground
performing stabilize flight. A plot of this information provides a
relationship between the payload and the flight time and can be
seen in figure.
CONTROL SYSTEM
[1] Castillo, Lozano & Dzul, “Modelling and Control of MiniFlying Machines,” © 2005 Springer
[2] Gabriel M. Hoffmann, Haomiao Huang, Steven L. Waslander,
“Quadrotor Helicopter Flight Dynamics and Control:Theory and
Experiment” AIAA.
[3] Setting Manual for Black or Blue version (Atmega168) [Online]. Available: http://www.kkmulticopter.kr/?modea=manual
[March 29, 2014]
[4] GSM modem interfacing with microcontroller 8051 for SMS
[On-line]. Available: http://www.zembedded.com/gsm-modeminterfacing-with-microcontroller-8051-for-sms-control-ofindustrial-equipments [March 29, 2014]
[5] Michael Russell Rip, James M. Hasik, “The Precision
Revolution: GPS and the Future of Aerial Warfare,” Naval Institute
Press. p. 65. ISBN 1-55750-973-5. Retrieved January 14, 2010
[6] Michael Leichtfried, Christoph Kaltenriner, Annette Mossel,
“Hannes Kaufmann Autonomous Flight using a Smartphone as OnBoard” ACM 978-1-4503-2106, MoMM2013, 2-4 December, 2013
[7] David Roberts, “Construction and Testing of a Quadcopter,”
California Polytechnic State University, San Luis Obispo, CA,
93407, June, 2013
CONTACT
M Muhammad, D Swarnaker and M Arifuzzaman,
Department of Aeronautical Engineering, Military Institute of
Science and Technology, Mirpur Cantonment, Dhaka,-1216
Bangladesh.
*rejwan.xy@ae.mist.ac.bd
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