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A Model-Based Approach to the Automated Design of Micro-Autonomous Multi-rotor Vehicle Systems

Arthur Cheng, Zachary Fisher, Raphaël Gautier, K. Daniel Cooksey, Dimitri Mavris, Georgia Institute of Technology; Nathan Beals, Army Research Laboratory

May 17, 2016

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A Model-Based Approach to the Automated Design of Micro-Autonomous Multi-rotor Vehicle Systems

  • Presented at Forum 72
  • 18 pages
  • SKU # : 72-2016-164
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A Model-Based Approach to the Automated Design of Micro-Autonomous Multi-rotor Vehicle Systems

Authors / Details: Arthur Cheng, Zachary Fisher, Raphaël Gautier, K. Daniel Cooksey and Dimitri Mavris, Georgia Institute of Technology; Nathan Beals, Army Research Laboratory

Abstract
Small unmanned aircraft systems provide a novel means to improve situational awareness via surveillance and reconnaissance for military operations at the squad level. In order to provide mission-capable assets to soldiers quickly and reduce logistical burden, an automated, model-based approach is presented for the design and manufacture of small unmanned aircraft systems. This design methodology uses performance and geometry requirements provided by the end-user as constraints on a full-factorial set of potential vehicle alternatives constructed from an inventory of modular and scalable vehicle components. The chosen feasible vehicle alternative is then automatically modeled in a computer aided engineering/design tool and manufactured using additive or other rapid manufacturing techniques. An asset is delivered back to the user within hours of the initial request. This paper describes the methodology in detail including the role of interfaces, logical rules embedded in the process, and error propagation in the modeling environment. Finally, it presents the results of flight tests of an output vehicle in order to validate the integrated modeling and manufacturing method. Vehicle endurance measured during the flight tests were in reasonable agreement with performance predictions provided by analytical and empirical models during the design process. By improving these models, a process which guarantees a mission-capable vehicle can be realized.

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