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Hybrid drones have Vertical Take Off and Landing (VTOL), hovering, longer range and endurance and hence proposed for use in DroneNet application where the launch vehicle spent stage is recovered mid air by a swarm of drones on a net. This paper presents the conceptual design of hybrid drone given the mission and payload specifications through a Multi-disciplinary Design Optimization (MDO) employing an in-house evolutionary algorithm \(A^2-MOEA\) . Multi-disciplinary Design Analysis (MDA) using Multiple Discipline Feasible (MDF) approach is carried out and driven by \(A^2-MOEA\) to obtain optimal configurations. Parametric studies are carried out to analyze the effect of flight and vehicle characteristics and results are discussed.

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Multi-disciplinary Design Optimization of Conceptual Design of Hybrid Drone Using Evolutionary Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • C. Shraddha,
  • Pankaj Priyadarshi

摘要

Hybrid drones have Vertical Take Off and Landing (VTOL), hovering, longer range and endurance and hence proposed for use in DroneNet application where the launch vehicle spent stage is recovered mid air by a swarm of drones on a net. This paper presents the conceptual design of hybrid drone given the mission and payload specifications through a Multi-disciplinary Design Optimization (MDO) employing an in-house evolutionary algorithm \(A^2-MOEA\) . Multi-disciplinary Design Analysis (MDA) using Multiple Discipline Feasible (MDF) approach is carried out and driven by \(A^2-MOEA\) to obtain optimal configurations. Parametric studies are carried out to analyze the effect of flight and vehicle characteristics and results are discussed.