Evaluation of a Candidate Flight Dynamics Model Simulation Standard Exchange Format

Jackson, Edward M.; Hildreth, Bruce; York, Brent; Cleveland, W. B.

doi:10.2514/6.2004-5038

Cited by 8 publications

(4 citation statements)

References 1 publication

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“…DAVE-ML is a proposed standard method for the interchange of aerospace dynamic models. It aims at providing a programming language independent representation of aerodynamics, mass/inertia, propulsion and guidance, navigation and control laws of an aerospace vehicle (Jackson et al, 2004) .…”

Section: Tsont An Ontology For Trajectory Simulationmentioning

confidence: 99%

Towards interoperable and composable trajectory simulations: an ontology-based approach

Durak

Oğuztüzün²,

Algin

et al. 2011

Journal of Simulation

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Turkey; and 4 Oyak Teknoloji, Ankara, Turkey Trajectory simulation is a software module that computes the flight path and flight parameters of munitions. It is used throughout the engineering process, including simulations for studying the design trade-offs, to mission simulations for defended area analysis. In this wide application domain, reuse has always been one of the challenges of the trajectory simulation community. We apply an ontology-based simulation development methodology to fulfil the functional requirements of a trajectory simulation while targeting reuse through interoperability and composability. Trajectory Simulation ONTology (TSONT) has been constructed as a simulation conceptual model for trajectory simulations. Based on the knowledge captured in TSONT, a domain-oriented reuse methodology has been leveraged to develop HLA-compliant trajectory simulations. A trajectory simulation federate was developed by conforming to the simulation object model based on TSONT. This paper demonstrates our approach to achieve composable and interoperable simulations over a case study in which a trajectory simulation federate serves in a variety of federations that have been constructed.

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Section: Tsont An Ontology For Trajectory Simulationmentioning

confidence: 99%

Towards interoperable and composable trajectory simulations: an ontology-based approach

Durak

Oğuztüzün²,

Algin

et al. 2011

Journal of Simulation

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“…The aerodynamic database went through several iterations of format before becoming standardized, including text-based, binary-based, and spreadsheetbased formats; the original Apollo data was processed either manually or via optical character recognition tools. The wide variety of formats were all converted, via scripts and other custom-built utility programs, into skeletal DAVE-ML 4 aerodynamic model files which could then be imported into the Simulink ® simulation tool. Reliance on the standard Unix 'make' utility, with its makefile scripts, provided a reliable and repeatable automation process to reduce human error.…”

Section: Aerodynamic Model Importmentioning

confidence: 99%

Simulation Environment for Orion Launch Abort System Control Design Studies

Mcminn

Jackson

Christhilf

2007

AIAA Modeling and Simulation Technologies Conference and Exhibit

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The development and use of an interactive environment to perform control system design and analysis of the proposed Crew Exploration Vehicle Launch Abort System is described. The environment, built using a commercial dynamic systems design package, includes use of an open-source configuration control software tool and a collaborative wiki to coordinate between the simulation developers, control law developers and users. A method for switching between multiple candidate control laws and vehicle configurations is described. Aerodynamic models, especially in a development program, change rapidly, so a means for automating the implementation of new aerodynamic models is described.

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“…Capturing these models in a systematic way and representing them as an integrated part of the ontology is an important concern. At this juncture, the DAVE-ML effort of NASA for the benefit of flight modeling and simulation community has been leveraged (Jackson et al 2004).…”

Section: Introductionmentioning

confidence: 99%

An Exercise In Ontology Driven Trajectory Simulation With MATLAB SIMULINK®

Durak¹,

Gueler²,

Oguztuezuen³

et al. 2007

ECMS 2007 Proceedings Edited By: I. Zelinka, Z. Oplatkova, A. Orsoni

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We demonstrate an application of the ontology driven methodology to develop trajectory simulations in a function-oriented style. We adopt a model based approach to software development, guided by the domain engineering process, to promote knowledge and software reuse. MATLAB Simulink® block definitions have been generated from the function specifications in the Trajectory Simulation Ontology, called TSONT. MATLAB implementations of the blocks have been generated from the DAVE-ML definitions of the functions, which are incorporated in TSONT. Finally, the simulation has been put together by manually connecting the blocks.

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Evaluation of a Candidate Flight Dynamics Model Simulation Standard Exchange Format

Cited by 8 publications

References 1 publication

Towards interoperable and composable trajectory simulations: an ontology-based approach

Towards interoperable and composable trajectory simulations: an ontology-based approach

Simulation Environment for Orion Launch Abort System Control Design Studies

An Exercise In Ontology Driven Trajectory Simulation With MATLAB SIMULINK®

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