The design and control of winged aircraft and drones is an iterative process aimed at identifying a compromise of mission-specific costs and constraints. When agility is required, shape-shifting (morphing) drones represent an efficient solution. However, morphing drones require the addition of actuated joints that increase the topology and control coupling, making the design process more complex. We propose a co-design optimisation method that assists the engineers by proposing a morphing drone’s conceptual design that includes topology, actuation, morphing strategy, and controller parameters. The method consists of applying multi-objective constraint-based optimisation to a multi-body winged drone with trajectory optimisation to solve the motion intelligence problem under diverse flight mission requirements, such as energy consumption and mission completion time. We show that co-designed morphing drones outperform fixed-winged drones in terms of energy efficiency and mission time, suggesting that the proposed co-design method could be a useful addition to the aircraft engineering toolbox.

Co-Design Optimisation of Morphing Topology and Control of Winged Drones / Bergonti, Fabio; Nava, Gabriele; Wüest, Valentin; Paolino, Antonello; L'Erario, Giuseppe; Pucci, Daniele; Floreano, Dario. - 31:(2024), pp. 8679-8685. ( 2024 IEEE International Conference on Robotics and Automation (ICRA) Yokohama (Japan) ) [10.1109/icra57147.2024.10611506].

Co-Design Optimisation of Morphing Topology and Control of Winged Drones

Paolino, Antonello;
2024

Abstract

The design and control of winged aircraft and drones is an iterative process aimed at identifying a compromise of mission-specific costs and constraints. When agility is required, shape-shifting (morphing) drones represent an efficient solution. However, morphing drones require the addition of actuated joints that increase the topology and control coupling, making the design process more complex. We propose a co-design optimisation method that assists the engineers by proposing a morphing drone’s conceptual design that includes topology, actuation, morphing strategy, and controller parameters. The method consists of applying multi-objective constraint-based optimisation to a multi-body winged drone with trajectory optimisation to solve the motion intelligence problem under diverse flight mission requirements, such as energy consumption and mission completion time. We show that co-designed morphing drones outperform fixed-winged drones in terms of energy efficiency and mission time, suggesting that the proposed co-design method could be a useful addition to the aircraft engineering toolbox.
2024
Co-Design Optimisation of Morphing Topology and Control of Winged Drones / Bergonti, Fabio; Nava, Gabriele; Wüest, Valentin; Paolino, Antonello; L'Erario, Giuseppe; Pucci, Daniele; Floreano, Dario. - 31:(2024), pp. 8679-8685. ( 2024 IEEE International Conference on Robotics and Automation (ICRA) Yokohama (Japan) ) [10.1109/icra57147.2024.10611506].
File in questo prodotto:
File Dimensione Formato  
2309.13948v3.pdf

accesso aperto

Descrizione: Article version on ArXiv
Tipologia: Documento in Pre-print
Licenza: Non specificato
Dimensione 3.61 MB
Formato Adobe PDF
3.61 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/984203
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 7
social impact