|
Innovative Power Control System Software Utilizing Smart-grid / Micro-grid Technology for Naval Applications
Navy SBIR FY2014.1
| Sol No.: |
Navy SBIR FY2014.1 |
| Topic No.: |
N141-031 |
| Topic Title: |
Innovative Power Control System Software Utilizing Smart-grid / Micro-grid Technology for Naval Applications |
| Proposal No.: |
N141-031-0302 |
| Firm: |
ISSAC Corp
6760 Corporate Drive Suite 240
Colorado Springs, Colorado 80919-1986 |
| Contact: |
Franklin Grange |
| Phone: |
(303) 882-1664 |
| Web Site: |
www.issaccorp.com |
| Abstract: |
ISSAC Corporation and the University of Texas (UT) at Austin Center for Electromechanics (CEM; together, "the ISSAC Team") propose to develop effective, efficient, secure, robust control system software for naval applications of smart- and micro-grid technology suitable for shipboard integrated power systems (IPS). The ISSAC Team will apply Model-Based Systems Engineering (MBSE) to establish a model-centric IPS architecture and control optimization algorithm foundation for subsequent prototype and full development engineering. The recommended optimization algorithm will result from a trade study considering requirements-based evaluation criteria against candidate algorithms including mathematical programming, metaheuristics and credal networks. The SysML and URN architecture model will support IPS insertion engineering in both future electric ships and legacy ships (e.g., DDG-51 class). Using Technology Readiness Level criteria, the ISSAC Team will provide a Phase II Transition Plan with a risk reduction activities through prototype and development engineering to minimize lead time to full-scale IPS architecture insertion readiness. |
| Benefits: |
Integrated Power System (IPS) architecture and control optimization SysML and User Requirements Notation (URN) artifacts to support life-cycle Model-Based Systems Engineering (MBSE)
Architecture model supporting technology insertion in both future electric ships and legacy ship modernization (e.g., DDG-51 class)
Risk identification, conditions, outcomes, likelihood and severity analyses to support continued IPS architecture and control capability development along a progressive risk reduction path
Control optimization algorithm selection to consider both goals (aka nonfunctional requirements) and functional requirements aligned to architecture through MBSE process and SysML artifacts
Focus by authoritative subject matter experts in shipboard IPS, control, optimization, M&S, uncertainty quantification and system of systems (SoS) engineering
|
Return
|