Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: N/A
Agency Tracking Number: NASASTTR-01-13
Amount: $100,000.00
Phase: Phase I
Program: STTR
Awards Year: 2001
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
200 West Mercer Street, E410, Seattle, WA, 98119
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr. Ewald Schoemig
 (206) 284-7711
Business Contact
 Adam Taylor
Title: Vice President
Phone: (206) 284-6605
Research Institution
 Naval Postgraduate School
 Dr. David Netzer
 CODE 09, Dean of research, Rm 220
Monterey, CA, 93943
 (831) 656-2980
 Nonprofit college or university
Availability of engineering analysis and design tools for accurate prediction of vehicle flight performance characteristics is highly desirable. Existing programs that use panel methods are inadequate for complex geometry and for handling the full range of flight conditions. This proposal identifies the development and integration of finite element multidisciplinary analysis (FEMA) and design of flight vehicles. An existing Computational Fluid Dynamics (CFD) code will be used to couple structural, aerodynamic and flight controls interaction in an efficient androbust manner. In Phase I, we will establish criteria for critical performance and operation bounds, basic principles and concepts, spatial and temporal discretization and related methods of solution. We will evaluate the performance of FEMA tools with other available solutions. A pilot code that simulates CFD-structure-control integration to depict the effectiveness of the presently developed algorithm will be developed. Several algorithms for design optimization for integration into FEMA tools will be identified. Flight control systems integration will be evaluated and proposed for implementation. Improvements and integration of advanced flight control systems structures will be evaluated. In particular we propose to investigate the feasibility of integrating nonlinear control laws as well as specific control design methods into multiobjective optimization software. ~000122 ~

* Information listed above is at the time of submission. *

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