Mixed-initiative Approaches in the Design of a trusted shift of Coordination Forms: Supporting Collaboration to handle Imperfect Partners

Stensrud, Rune; Valaker, Sigmund; Eikelboom, A.R.; Mikkelsen, Bjorn

doi:10.1109/iceccme52200.2021.9590946

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…In this sense, systems that utilize common components and enable rapid and cost-effective production come to the forefront. A key challenge lies in developing design approaches that incorporate non-conventional perspectives, particularly in the next-generation design of "plug & play" configurations across a fleet of unmanned combat aerial vehicles (UCAVs) [1][2][3]. These vehicles are expected to provide challenging mission requirements and specific system designs, emphasizing the minimization of full life-cycle costs [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

AI-Driven Multidisciplinary Conceptual Design of Unmanned Aerial Vehicles

Karali,

Inalhan,

Tsourdos

2024

AIAA SCITECH 2024 Forum

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This paper presents a multidisciplinary conceptual design framework for unmanned aerial vehicles based on artificial intelligence-driven analysis models. This approach leverages AIdriven analysis models that include aerodynamics, structural mass, and radar cross-section predictions to bring quantitative data to the initial design stage, enabling the selection of the most appropriate configuration from various optimized concept designs. Due to the design optimization cycle, the initial dimensions of key components such as the wing, tail, and fuselage are provided more accurately for later design activities. Simultaneously, the generated structure enables more suitable design point selection through the feedback loop within the design iteration. Therefore, in addition to reducing design costs, this approach also offers a substantial time advantage in the overall design process.

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Section: Introductionmentioning

confidence: 99%

AI-Driven Multidisciplinary Conceptual Design of Unmanned Aerial Vehicles

Karali,

Inalhan,

Tsourdos

2024

AIAA SCITECH 2024 Forum

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“…In the first stage, these systems are planned to fulfill the tasks given both in formation and separately under the tactical command of a manned leadership in the Manned-Unmanned Teaming (MUM-T) concept [1]. According to this theme, the Unmanned Combat Aerial Vehicles (UCAVs) will potentially have intelligence gathering, electronic warfare, air-to-air and air-to-ground combat capabilities via their artificial intelligence-enabled autonomy [2]. In addition, it is considered that these systems can be used not only with fighter jets but also with other types of aircrafts such as tankers, bombers, and transports in different scenarios [3].…”

Section: Introductionmentioning

confidence: 99%

AI-Based Multifidelity Surrogate Models to Develop Next Generation Modular UCAVs

Karali

Inalhan

Tsourdos

2023

AIAA SCITECH 2023 Forum

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The next generation low-cost modular unmanned combat aerial vehicles (UCAVs) provide the opportunity to implement innovative solutions to complex tasks, while also bringing new challenges in design, production, and certification subjects. Solving these problems with tools that provide fast modeling in line with the digital twin concept is possible. In this work, we develop an artificial intelligence (AI) based multifidelity surrogate model to determine performance parameters of innovative modular UCAVs. First, we develop a data generation algorithm that includes a high-fidelity model based on computational fluid dynamics methods and a low-fidelity model based on computational aerodynamic approaches. In the next step, a new transfer learning-based surrogate model is generated using multifidelity data. Thanks to this approach, the developed AI model more accurately predicted the flow conditions that were missing in the high-fidelity data with the data obtained from the low-order model. The performance of the proposed AI-based surrogate model is to be investigated in terms of accuracy, robustness, and computational cost using a generic modular UCAV configuration.

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Mixed-initiative approaches in the Design of a trusted shift of Coordination Forms in Air Operations: Supporting Collaboration to handle Loyal Wingmen

Stensrud

Valaker²

2021

2021 International Automatic Control Conference (CACS)

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Mixed-initiative Approaches in the Design of a trusted shift of Coordination Forms: Supporting Collaboration to handle Imperfect Partners

Cited by 3 publications

References 34 publications

AI-Driven Multidisciplinary Conceptual Design of Unmanned Aerial Vehicles

AI-Driven Multidisciplinary Conceptual Design of Unmanned Aerial Vehicles

AI-Based Multifidelity Surrogate Models to Develop Next Generation Modular UCAVs

Mixed-initiative approaches in the Design of a trusted shift of Coordination Forms in Air Operations: Supporting Collaboration to handle Loyal Wingmen

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