Multidisciplinary design optimisation of UAVs : conceptual design of a MATLAB-based framework

Name: Natee Tanman

Organization : University of Glasgow. James Watt School of Engineering

Email : n.tanman.1@research.gla.ac.uk

Name: Thomson, Douglas

Organization : University of Glasgow. James Watt School of Engineering

Email : douglas.thomson@glasgow.ac.uk

Name: Anderson, David

Organization : University of Glasgow. James Watt School of Engineering

Email : dave.anderson@glasgow.ac.uk

LCSH: Multidisciplinary design optimisation

LCSH: Drone aircraft -- Design and construction

Abstract: Unmanned Aerial Vehicles (UAVs) have been utilised as critical tools in a wide range application from military to civilian purposes. Designing UAVs involves interactions between various subsystems such as aerodynamics, structures and propulsion. In order to tackle the complexity of such interactions, a multidisciplinary design optimisation (MDO) approach can then be used to achieve an optimisation of the entire UAV system. This paper presents a conceptual design of a MDO framework for UAVs developed in MATLAB. The proposed framework integrates various disciplines enhancing the ability to conduct comprehensive multidisciplinary design analysis. A key feature of this framework is the use of Object-Oriented Programming (OOP) which establishes the organisation and management of all data and processes. As for the case studies, a simple example was applied to demonstrate the reliability of the proposed methodology. The second example case was a more complex scenario focusing on the optimal design of a battery-powered Vertical Take-Off and Landing (VTOL) UAV using low-fidelity models. The results from these case studies showed that the proposed MDO architecture performed well and provided valuable insights into UAV design optimisation

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2024

Modified: 2025-04-28

Issued: 2025-04-28

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BibliograpyCitation : In IEEE Thailand Section. Antennas and Propagation/Electron Devices/Microwave Theory and Techniques Joint Chapter, Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology Association, and King Mongkut's University of Technology North Bangkok. The 5th Research, Invention and Innovation Congress (RI2C 2024) (pp.321-328). Bangkok : IEEE Thailand Section

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