Multidisciplinary Design Optimisation of UAVs: Conceptual Design of a MATLAB-Based Framework

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.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/ri2c64012.2024.10784335
Citations
1
Primary Topic
Advanced Aircraft Design and Technologies
Type
article
Field-Weighted Citation Impact
0.28
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article

Multidisciplinary Design Optimisation of UAVs: Conceptual Design of a MATLAB-Based Framework

Douglas Thomson, David Anderson, Natee Tanman
1 citations
Advanced Aircraft Design and Technologies
0.28
article

Multidisciplinary Design Optimisation of UAVs: Conceptual Design of a MATLAB-Based Framework

Douglas Thomson, David Anderson, Natee Tanman
article en
1 citations

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.

University of Glasgow (GB)
Openalex Percentile: Top 39%
Advanced Aircraft Design and Technologies
0.28
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