Multidisciplinary and Multifidelity Framework for Evaluating System-of-Systems Capabilities of Unmanned Aircraft

Παπαγεωργίου, Αθανάσιος; Ölvander, Johan; Amadori, Kristian; Jouannet, Christopher

doi:10.2514/1.c035640

Cited by 15 publications

(8 citation statements)

References 36 publications

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“…Explicit evaluation of design variables in tradespaces is usually preferred over change propagation techniques (Brahma and Wynn, 2023) to identify a feasible change option, as a detailed system representation is missing in the early design stages. For such explicit tradespace exploration, hybrid simulations utilizing DES-ABS are usually adopted for process simulation from an SoS perspective (Papageorgiou et al, 2020). However, these approaches are limited to using fixed average operating points for analyzing a CS.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, it is evident that incorporating changeability in a system is an interplay of identification, quantification, and valuation, where a practical exploration of tradespace is crucial. From an SoS perspective, the tradespace is a combinatorial representation of several systems, including their configuration and control variables, in an operational context (Machchhar and Bertoni, 2022;Papageorgiou et al, 2020). To enable the tradespace exploration, a number of tools and methods have been developed, spanning from scenario simulations (Rondini et al, 2017), including agent-based simulation (ABS) or discrete event-based simulations (DES) to detailed finite element simulation.…”

Section: Changeability In System-of-systemsmentioning

confidence: 99%

“…The outer layer comprises a standard design optimization (DO) problem with objective maximization/minimization and equality/inequality constraints (Martins and Ning, 2021). No disciplinary coupling (Papageorgiou et al, 2020) between CS and SS levels is modeled to reduce computational time. Also, the existence and computability of gradients is not guaranteed.…”

Section: A Tradespace Exploration Approach For Changeability Assessmentmentioning

confidence: 99%

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A tradespace exploration approach for changeability assessment from a system-of-systems perspective: application from the construction machinery industry

Machchhar,

Toller Melén,

Bertoni

2024

Proc. Des. Soc.

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The rapid development of new technologies such as electrification, autonomy, and other contextual factors pose significant challenges to development teams in balancing competing aspects while developing value-robust solutions. One approach for achieving value robustness is designing for changeability. This paper presents a tradespace exploration from a Systems-of-Systems perspective to facilitate changeability assessment during early design stages. The approach is further demonstrated on a fleet of haulers operating in a mining site.

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Section: Discussionmentioning

confidence: 99%

Section: Changeability In System-of-systemsmentioning

confidence: 99%

Section: A Tradespace Exploration Approach For Changeability Assessmentmentioning

confidence: 99%

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A tradespace exploration approach for changeability assessment from a system-of-systems perspective: application from the construction machinery industry

Machchhar,

Toller Melén,

Bertoni

2024

Proc. Des. Soc.

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“…Consequently, ABS can be used to increase the understanding of the dynamics in SoS during the early stages of system design [33]. ABS has for example been used to evaluate performances of SoSs with unmanned aerial vehicles at a conceptual design stage as shown in [34,35].…”

Section: Design Space Exploration For System-of-systems and Other Conmentioning

confidence: 99%

A Breakdown of System of Systems Needs Using Architecture Frameworks, Ontologies and Description Logic Reasoning

et al. 2021

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Aerospace systems are connected with the operational environment and other systems in general. The focus in aerospace product development is consequently shifting from a singular system perspective to a System-of-Systems (SoS) perspective. This increasing complexity gives rise to new levels of uncertainty that must be understood and managed to produce aerospace solutions for an ever-changing future. This paper presents an approach to using architecture frameworks, and ontologies with description logic reasoning capabilities, to break down SoS needs into required capabilities and functions. The intention of this approach is to provide a consistent way of obtaining the functions to be realized in order to meet the overarching capabilities and needs of an SoS. The breakdown with an architecture framework results in an initial design space representation of functions to be performed. The captured knowledge is then represented in an ontology with description logic reasoning capabilities, which provides a more flexible way to expand and process the initial design space representation obtained from the architecture framework. The proposed approach is ultimately tested in a search and rescue case study, partly based on the operations of the Swedish Maritime Administration. The results show that it is possible to break down SoS needs in a consistent way and that ontology with description logic reasoning can be used to process the captured knowledge to both expand and reduce an available design space representation.

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“…Lee and Mitici (2020) combined agent-based modelling, Petri nets and Monte Carlo simulation for the strategy optimization of aircraft maintenance. Papageorgiou et al (2020) analysed the impacts of different operation scenarios on UAV performance with agent-based simulations. The advantage of ABMS lies in its flexible adaptability to different scenarios, but it lacks in the ability of semantic knowledge representation, which is essential in modelling the intelligent HCI process.…”

Section: Introductionmentioning

confidence: 99%

Ontology modelling of intelligent HCI in aircraft cockpit

Xia

Sun

Zhang

2021

AEAT

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Purpose Semantic modelling is an essential prerequisite for designing the intelligent human–computer interaction in future aircraft cockpit. The purpose of this paper is to outline an ontology-based solution to this issue. Design/methodology/approach The scenario elements are defined considering the cognitive behaviours, system functions, interaction behaviours and interaction situation. The knowledge model consists of a five-tuple array including concepts, relations, functions, axioms and instances. Using the theory of belief-desire-intention, the meta-model of cognitive behaviours is established. The meta-model of system functions is formed under the architecture of sub-functions. Supported by information flows, the meta-model of interaction behaviours is presented. Based on the socio-technical characteristics, the meta-model of interaction situation is proposed. The knowledge representation and reasoning process is visualized with the semantic web rule language (SWRL) on the Protégé platform. Finally, verification and evaluation are carried out to assess the rationality and quality of the ontology model. Application scenarios of the proposed modelling method are also illustrated. Findings Verification results show that the knowledge reasoning based on SWRL rules can further enrich the knowledge base in terms of instance attributes and thereby improve the adaptability and learning ability of the ontology model in different simulations. Evaluation results show that the ontology model has a good quality with high cohesion and low coupling. Practical implications The approach presented in this paper can be applied to model complex human–machine–environment systems, from a semantics-driven perspective, especially for designing future cockpits. Originality/value Different from the traditional approaches, the method proposed in this paper tries to deal with the socio-technical modelling issues concerning multidimensional information semantics. Meanwhile, the constructed model has the ability of autonomous reasoning to adapt to complex situations.

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Multidisciplinary and Multifidelity Framework for Evaluating System-of-Systems Capabilities of Unmanned Aircraft

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Cited by 15 publications

References 36 publications

A tradespace exploration approach for changeability assessment from a system-of-systems perspective: application from the construction machinery industry

A tradespace exploration approach for changeability assessment from a system-of-systems perspective: application from the construction machinery industry

A Breakdown of System of Systems Needs Using Architecture Frameworks, Ontologies and Description Logic Reasoning

Ontology modelling of intelligent HCI in aircraft cockpit

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