NASA SBIR 2018-II Solicitation

Proposal Summary

 18-2- H6.02-1148
 Resilient Autonomous Systems
 Resilience-Based Optimization of Space Systems
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Michael Magnin
17024 Northeast 135th Court
Redmond, WA 98052
(425) 497-9963

PRINCIPAL INVESTIGATOR (Name, E-mail, Mail Address, City/State/Zip, Phone)
Michael Magnin
17024 NE 135th Ct
Redmond, WA 98052 - 1715
(425) 497-9963

BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Michael Magnin
17024 NE 135th Ct
Redmond, WA 98052 - 1715
(425) 497-9963

Estimated Technology Readiness Level (TRL) :
Begin: 4
End: 6
Technical Abstract (Limit 2000 characters, approximately 200 words)

With future missions of increasing complexity, duration, distance, and uncertainty, there has been a growing need for methods and tools that can permit the effective formation of early stage conceptual designs that are not only cost-effective, but also productive and resilient to failures. Work performed during Phase I, involved development of a method and tools to address these challenges for space-based systems. However, further development is needed to expand these approaches, making them viable for a more general set of problems. Furthermore, improvements both to the quality of solutions obtained, and the efficiency with which these solutions are obtained is necessary. Finally, development of flight software to improve performance of complex space systems will demonstrate real-world benefits of this Phase II effort.

This proposal addresses these issues with the following innovations:

  1. Development of a method and a set of tools that evaluate and optimize any type of arbitrary system
  2. Improved metrics for evaluating and optimizing systems with multiple objectives
  3. Develop a multi-threaded algorithm that can benefit from parallel computing
  4. Development of an efficient method to quantify and propagate uncertainty associated with the system
  5. Development of a general set of tools to capture, archive, and analyze data flows on complex, message-oriented space-borne data buses

The significance of the innovations is that the proposed methods and tools will:

  1. Permit the optimization of any arbitrary type of system or system-of-systems
  2. Provide higher quality solutions to problems seeking to optimize multiple objectives simultaneously in an efficient manner
  3. Allow for the efficient quantification and propagation of uncertainty associated with the system
  4. Allow for the inclusion of onboard data-flow considerations earlier in the system-level design phase of complex space systems as a means of increasing the robustness of the design to growth in data volumes or increases in data rates
Potential NASA Applications (Limit 1500 characters, approximately 150 words)

NASA applications that can benefit from the increased resilience provided by the methods and tools developed include next-generation habitat systems, such as those being developed under NASA’s NextSTEP-2 BAA, and the Lunar Orbital Platform-Gateway (including the Power Propulsion Element). Also, assets required for NASA’s recently announced return to the Moon, which are complex systems within a system-of-systems, can benefit from the tools, for both robotic and human exploration of the surface.


Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words)

The advent of the in-space satellite assembly and manufacturing technology, coupled with the emerging ability to service satellites, means that commercial satellite architectures are undergoing a transformation. The commercial satellite industry requires these tools to optimize the performance and resilience of next-generation commercial satellite systems to minimize overall lifecycle cost.

Duration: 24

Form Generated on 05/13/2019 13:32:10