SBIR-STTR Award

Integrated Design and Analysis Environment for Safety Critical Human-Automation Systems
Award last edited on: 1/18/2017

Sponsored Program
SBIR
Awarding Agency
NASA : ARC
Total Award Amount
$699,941
Award Phase
2
Solicitation Topic Code
A1.06
Principal Investigator
Michael D Devore

Company Information

Barron Associates Inc (AKA: BAI)

1410 Sachem Place Suite 202
Charlottesville, VA 22901
   (434) 973-1215
   sales@barron-associates.com
   www.barron-associates.com
Location: Single
Congr. District: 05
County: Albemarle

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2010
Phase I Amount
$99,945
Flight deck systems, like many safety critical systems, often involve complex interactions between multiple human operators, automated subsystems, and physical structures. Individual components are extensively evaluated and are often redundantly deployed, so catastrophic failures predominately arise not through component failure but as the result of a sequence of failures that cascade because of some unforeseen combination of off-nominal conditions. Such sequences may involve human operators, control algorithms, software implementations, physical structures, and other components of the system. Analyzing the potential for these failure scenarios is extremely difficult, not only because of the inherent complexity of such systems but also because of the multidisciplinary nature of the system itself. While many development tools exist to conduct deep analyses within individual disciplines, there is a lack of tools available for deep analysis of complex multidisciplinary designs. The goal of this proposed research project is thus to create a new class of development tool that allows designers to specify, design, integrate, and conduct analyses of complex systems across disciplinary boundaries. Through this new tool, the dynamic interactions between system components in the presence of off-nominal conditions can be explored to uncover systemic vulnerabilities, precursory conditions, and likely outcomes.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2011
Phase II Amount
$599,996
Numerous advances have been made in recent years in the areas of flight deck design, aircraft modeling, resilient control, and vehicle health management. The combination of these complementary technologies promises to revolutionize aircraft systems and operations safety in the decades ahead. However, the task of safely integrating these technologies is becoming increasingly difficult as their level of complexity, degree of automation, and demands from their operational environment grow. The Next Generation Air Transport System (NextGen), while providing significant benefits in terms of increased capacity and safety, will exacerbate this situation due to the large numbers of new and existing systems that will be required to interoperate. The multidisciplinary nature of these systems is a significant factor that makes analyzing their safety characteristics extremely difficult. While many development tools exist to conduct deep analyses within individual disciplines, there is a lack of tools available for deep analysis of complex multidisciplinary designs. The proposed research seeks to create a new class of development tool that will allow designers of complex systems-of-systems to explore the dynamic interactions between system components to uncover systemic vulnerabilities, precursory conditions, and likely outcomes. The Phase I project generated an initial implementation of the software package Idea, an Integrated Design and Analysis Environment that could be used to model complex interdependencies between flight deck operations, flight deck controls and display, and the underlying physical components of the aircraft. The proposed Phase II effort will mature this software and expand its capabilities, resulting in a flexible, standards-compliant tool that is ready for beta testing and subsequent commercialization. It will focus on enhancements that support cross-disciplinary modeling and analysis of safety-critical human-automation systems.