Co-Design Optimisation of Morphing Topology and Control of Winged Drones
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Sep 2023.
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Citing papers per year: 2025: 3; 2026: 2.
5 papers.
- 2025Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challengescited by 4
- 2025Learning Aerodynamics for the Control of Flying Humanoid Robotscited by 0
- 2025Learning to Solve Constrained Bilevel Control Co-Design Problemscited by 0
- 2026Neural-Surrogate Co-Design of Aerodynamic Shape and Controlcited by 0
- 2026Co-Design of Aeroelastic Systems with Deep Reinforcement Learningcited by 0
- 2026Co-Design of Aeroelastic Systems with Deep Reinforcement Learning16 Jul 2026
- 2026Neural-Surrogate Co-Design of Aerodynamic Shape and Control6 Mar 2026
- 2025Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges4 Dec 2025
- 2025Learning to Solve Constrained Bilevel Control Co-Design Problems11 Jul 2025
- 2025Learning Aerodynamics for the Control of Flying Humanoid Robots30 May 2025