Multi-Layer Framework for Synthesis and Evaluation of Heterogeneous System-of-Systems Composed of Manned and Unmanned Vehicles
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Abstract
The advancement of both sensory and unmanned technology, combined with increased utilization of autonomous platforms in complex teaming scenarios, has created a need for practical design space exploration tools to aid in the synthesis of effective System-of-Systems (SoS). The presented work describes a modular, flexible, and extensible framework, referred to herein as the Technologies and Teaming Evaluation (TATE) framework, for straightforward identification of high-quality SoS, which may include both manned and autonomous elements, through quantitative evaluation of system-level and SoS-level attributes against a set of user-defined reference tasks. More specifically, TATE combines a top-down (goal-driven) approach, which systematically decomposes mission-level goals into a set of relevant technology and teaming options, with a two-layer bottom-up (technology-driven) approach that compares and selects effective components and configurations both for individual systems and the overall team. The TATE framework serves as an extension to existing design space exploration tools that focus on individual system design and do not readily scale to SoS. A canonical example is used to illustrate the use of the TATE framework for synthesis and evaluation of team structures for use within a representative target tracking mission.
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Peters, J., Jahangir, E., Surana, A., and Mian, Z., "Multi-Layer Framework for Synthesis and Evaluation of Heterogeneous System-of-Systems Composed of Manned and Unmanned Vehicles," SAE Technical Paper 2018-01-1964, 2018, https://doi.org/10.4271/2018-01-1964.Also In
References
- Mian, Z.T. and Mavris D. , “Mission Effectiveness Quantification and Assessment of Micro Autonomous Systems and Technologies,” 2013 Systems and Information Engineering Design Symposium (SIEDS), IEEE, 2013, 173-178.
- Lahiri, K., Raghunathan, A., and Dey, S. , “Design Space Exploration for Optimizing On-Chip Communication Architectures,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 23(6):952-961, 2004.
- Ross, A.M., Hastings, D.E., Warmkessel, J.M., and Diller, N.P. , “Multi-Attribute Tradespace Exploration as Front End for Effective Space System Design,” Journal of Spacecraft and Rockets 41(1):20-28, 2004.
- Wang, G.G. and Shan, S. , “Review of Metamodeling Techniques in Support of Engineering Design Optimization,” Journal of Mechanical Design 129(4):370-380, 2007.
- Stump, G., Lego S., Yukish M., Simpson T.W. et al. , “Visual Steering Commands for Trade Space Exploration: User-Guided Sampling with Example,” ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers, 2007, 1367-1376.
- Balling, R. , “Design by Shopping: A New Paradigm?” Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO-3), Vol. 1 (Berlin: International Soc. for Structural and Multidisciplinary Optimization, 1999), 295-297.
- Dempsey, M.E. and Rasmussen, S. , “Eyes of the Army-US Army Roadmap for Unmanned Aircraft Systems 2010-2035,” US Army UAS Center of Excellence, Ft. Rucker, AL, 2010, 9.
- Keeney, R.L. and Raiffa, H. , Decisions with Multiple Objectives: Preferences and Value Trade-Offs (Cambridge University Press, 1993).
- Mian, Z.T., Dees, P., Hall, L., and Mavris, D. , “Development and Implementation of Micro Autonomous Systems and Technologies (MAST) Interactive Reconfigurable Matrix of Alternatives (M-IRMA) for Concept Selection,” Procedia Computer Science 16:708-717, 2013.
- Mian, Z.T. , “A Multidisciplinary Framework for Mission Effectiveness Quantification and Assessment of Micro Autonomous Systems and Technologies,” Ph.D. dissertation, Georgia Institute of Technology, 2013.
- Nemhauser, G.L. and Wolsey, L.A. , Integer Programming and Combinatorial Optimization, G.L. Nemhauser, M.W.P. Savelsbergh, G.S. Sigismondi , eds. (Chichester, Wiley, 1992); Constraint Classification for Mixed Integer Programming Formulations, COAL Bulletin 20:8-12, 1988.
- Makhorin, A. , “GLPK (GNU Linear Programming Kit),” http://www.gnu.org/s/glpk/glpk.html, 2008.
- Mavris, D.N., Roth B.A., and Macsotai N.I. , “A Method for Probabilistic Sensitivity Analysis of Commercial Aircraft Engines,” 14th International Society for Air Breathing Engines - ISOABE, ISABE - International Symposium on Air Breathing Engines, Florence, Italy, Sept. 5-10, 1999.