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Adaptable Interfaces for M&S Tools

Description:

OBJECTIVE: Develop and demonstrate a solution to adapt high-fidelity sensor system models and simulation environments to enable rapid development of integrated system-of-systems (SoS) models to perform trade analysis and experiments with sensor SoS suites. 

DESCRIPTION: Today’s systems engineers rely heavily on Modeling and Simulation (M&S) to burn down risks with the challenging task of sensor systems integration. The innovative commercial base has responded to the increased use of M&S tools by creating a great number of M&S tools to help address the wide range of integration challenges. When creating an integrated system, system engineers employ these M&S tools to assemble collections of components, tailoring the models of components as needed, into a single system model or Simulation Environment (SIMEN) which meets the design requirements. Complexity increases when systems engineers are asked to integrate systems, which they may be unable to change or even control, into a SoS instantiation. M&S tools for integrating systems into a SoS often require use of a single standardized environment to create the entire model or simulation. Typically, each of the models and corresponding SIMEN of the individual systems or subsystems to be integrated are created with different M&S tools. The systems engineer responsible for the SoS integration is faced with the arduous task of translating all of the individual systems into a single environment for M&S of the SoS. This project seeks to eliminate the step of translating all individual system or subsystem models and corresponding simulations into a single standardized M&S tool environment, and instead seeks to maximize the ability to integrate the individual systems or subsystems models and corresponding simulations in their native form. This project seeks to develop automated/innovative techniques for translating individual system or subsystem models and corresponding simulations into a single standardized M&S tool environment to support fully integrated SoS capability. Various government sensor models and SIMEN will be supplied. Some models will be generated in a SysML environment, which at this time it is envisioned will be from the IBM Rationale Rhapsody tool. Other models and environments will be what is currently in use in the Air Force Research Laboratory’s Sensors Directorate. The proposer is encouraged to investigate industry wide models and environments to the extent feasible [1]. References 2 and 3 give examples of modeling and simulation of different sensors [2, 3]. 

PHASE I: Perform in-depth investigation and build understanding of various sensor model types and SIMENs. Evaluate the types of models and SIMENs to develop draft requirements for a representative integrated sensor SoS model and corresponding SIMENs without altering the native models. Finally, develop an approach to automate the integration of desired heterogeneous sensor models and SIMENs. 

PHASE II: Develop, prototype, validate and demonstrate an M&S environment which leads to rapid automatic generation of an integrated SoS model from disparate sensor M&S tools and the corresponding SIMENs without the use of a global standard (i.e., minimize rework to the M&S environment and/or the models and SIMENs to be integrated). The proposed demonstration will be based upon use cases defined by the government. 

PHASE III: A number of government agencies (military and civil) require this capability to rapidly develop ISR SoS suites, protect facilities, operations, critical infrastructure and personnel. Commercial interest in such a system for development of sensor technology, and security and safety applications is also anticipated. 

REFERENCES: 

1: Object Management Group, OMG Systems Modeling Language, June 2015.

2:  Kerekes, John P. Landgrebe, David A., Modeling, Simulation, and Analysis of Optical Remote Sensing Systems, TR-EE 89-49, School of Electrical Engineering, Purdue University, August 1989.

3:  Chen, Chung-YI. Modeling and Simulation of a Search Radar Receiver, Naval Postgraduate School, September 1996.

KEYWORDS: Integration, System(s)-of-systems, Adaptable Integration, Modeling And Simulation 

CONTACT(S): 

Ed Grantonic 

(937) 713-8125 

edward.grantonic@us.af.mil 

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