An Intelligent Framework to Develop Adaptive Parametric Reduced Order Model Database for Aerostructural Control

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC18P1879
Agency Tracking Number: 186962
Amount: $124,798.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A1
Solicitation Number: SBIR_18_P1
Timeline
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-07-27
Award End Date (Contract End Date): 2019-02-15
Small Business Information
701 McMillian Way Northwest, Suite D, Huntsville, AL, 35806-2923
DUNS: 185169620
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Kapil Pant
 (256) 726-4871
 kapil.pant@cfdrc.com
Business Contact
 Silvia Harvey
Phone: (256) 726-4858
Email: proposals-contracts@cfdrc.com
Research Institution
N/A
Abstract

The goal of the project is to develop an intelligent framework to construct adaptive parametric reduced order model (PROM) database for aeroservoelastic (ASE) analysis and aerostructural control. Leveraging on significant advancements by the proposing team in prior research, this Phase I effort will initiate a new frontier of ‘engineering intelligence’ to further ASE ROM development, including several emerging techniques: genetic algorithm optimization-guided ROMs, data-driven ROM for nonlinear aeroelasticity and gust response analysis, online determination of critical flight conditions and in-situ PROM database development while modeling, CFD computation, and ROM are in progress. A modular software framework will be established for automated PROM generation and optimization, consistent state enforcement, adaptive parameter space sampling, and database population. The feasibility of the proposed technology will be demonstrated for ASE problems of NASA interest (e.g., High-speed ASE, X-56A MUTT, etc.). The Phase II effort will focus on: (1) PROM engine optimization in terms of execution efficiency, robustness, and autonomy; and (2) direct integration of the ‘intelligent’ environment into NASA workflow; and process automation of modeling, simulation, and control synthesis for technology insertion and transition; and (3) extensive software validation and demonstration for ASE and flight control analysis of realistic aircrafts of current NASA interest

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

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