Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts

A Master of Science thesis in Mechatronics Engineering by Ahmed Khalil entitled, “Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts”, submitted in October 2021. Thesis advisor is Dr. Mohammad Jaradat and thesis co-advisors are Dr. Shayok Mukhopadhyay and Dr. Mamoun...

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Main Author: Khalil, Ahmed (author)
Format: doctoralThesis
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/11073/21623
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author Khalil, Ahmed
author_facet Khalil, Ahmed
author_role author
dc.contributor.none.fl_str_mv Jaradat, Mohammad
Mukhopadhyay, Shayok
Abdel-Hafez, Mamoun
dc.creator.none.fl_str_mv Khalil, Ahmed
dc.date.none.fl_str_mv 2021-10
2022-02-07T11:06:55Z
2022-02-07T11:06:55Z
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.identifier.none.fl_str_mv 35.232-2021.73
http://hdl.handle.net/11073/21623
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Quadrotor
Caged Drone
3D printing
UAV
PID
Adaptive Control
Gain modifications
DMRAC
Leak Detection
HVAC
SLAM
Localization
Optitrack
Thermal Imaging
dc.title.none.fl_str_mv Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Mechatronics Engineering by Ahmed Khalil entitled, “Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts”, submitted in October 2021. Thesis advisor is Dr. Mohammad Jaradat and thesis co-advisors are Dr. Shayok Mukhopadhyay and Dr. Mamoun Abdel-Hafez. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/21623
publishDate 2021
repository.mail.fl_str_mv
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spelling Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC DuctsKhalil, AhmedQuadrotorCaged Drone3D printingUAVPIDAdaptive ControlGain modificationsDMRACLeak DetectionHVACSLAMLocalizationOptitrackThermal ImagingA Master of Science thesis in Mechatronics Engineering by Ahmed Khalil entitled, “Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts”, submitted in October 2021. Thesis advisor is Dr. Mohammad Jaradat and thesis co-advisors are Dr. Shayok Mukhopadhyay and Dr. Mamoun Abdel-Hafez. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Interest in unmanned aerial vehicles (UAVs) has increased over the past years mainly due to the benefits that it proposes to achieve. Their ability to perform tasks accurately and efficiently in dangerous conditions makes them an optimal choice in various indoor applications. However, the problem of increased safety and precise control arises as these drones have high rotatory components. To avoid the rotary components being exposed, a cage type structure can be used which helps dampen an impact on the drone. For precise control, advanced adaptive control techniques can be used to achieve a stable vehicle path. In this thesis a hybrid rolling and flying multi-rotor drone is developed for inspection and leak detection in Heating, Ventilation, and Air Conditioning (HVAC) systems ducts through a thermal camera. A multi-rotor drone with a passive cage is designed, manufactured and controlled autonomously using Direct Model Reference Adaptive Control (DMRAC). DMRAC is coupled with a structure of PID controllers. Four methods are used and compared to overcome the drifting gain problem; dead-zone modification, sigma modification, epsilon modification and projection based modification. Additionally, more parameters are studied inside these modifications. The simulations show that all methods complete the desired route with some differences, such as gains drifting and error. The experimental multi-rotor platform is equipped with a 2D LiDAR sensor that provides a scan of the distance surrounding the multi-rotor drone in a 2D plane. An IMU sensor is used to project these distance measurements to a plane parallel to the ground along with a thermal camera for detecting leaks. The projected readings from the LiDAR is compared with the ground truth by using an Optitrack motion capture system. The platform is validated with PID and DMRAC control and the output result is compared amongst themselves, a thermal leak is detected and localized autonomously by the proposed system during real time validation.College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR)Jaradat, MohammadMukhopadhyay, ShayokAbdel-Hafez, Mamoun2022-02-07T11:06:55Z2022-02-07T11:06:55Z2021-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfapplication/pdf35.232-2021.73http://hdl.handle.net/11073/21623en_USoai:repository.aus.edu:11073/216232025-06-26T12:22:21Z
spellingShingle Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts
Khalil, Ahmed
Quadrotor
Caged Drone
3D printing
UAV
PID
Adaptive Control
Gain modifications
DMRAC
Leak Detection
HVAC
SLAM
Localization
Optitrack
Thermal Imaging
status_str publishedVersion
title Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts
title_full Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts
title_fullStr Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts
title_full_unstemmed Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts
title_short Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts
title_sort Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts
topic Quadrotor
Caged Drone
3D printing
UAV
PID
Adaptive Control
Gain modifications
DMRAC
Leak Detection
HVAC
SLAM
Localization
Optitrack
Thermal Imaging
url http://hdl.handle.net/11073/21623