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Real-Time Methods for Adaptive Suppression of Adverse Aeroservoelastic Dynamics

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
95317
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
094763
Solicitation Year:
N/A
Solicitation Topic Code:
A1
Solicitation Number:
N/A
Small Business Information
Systems Technology, Inc.
13766 S. Hawthorne Blvd. Hawthorne, CA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2010
Title: Real-Time Methods for Adaptive Suppression of Adverse Aeroservoelastic Dynamics
Agency: NASA
Contract: NNX10CC56P
Award Amount: $99,954.00
 

Abstract:

Adverse aeroservoelastic (ASE) interaction is a problem on new and existing aircraft of all types causing repeated loading, enhanced fatigue and undesirable oscillations for pilots. Traditionally, to suppress adverse ASE interaction, notch and/or roll off filters have been utilized in the flight control system architecture to effectively "cancel out" problematic frequencies that will potentially excite the ASE dynamics. This solution has pitfalls; rigid body performance is degraded due to the resulting phase penalty and the filter is not robust to unexpected or un-modeled off nominal behavior. STI proposes an adaptive approach, which is leveraged by the adaptive Higher Harmonic Control (HHC) algorithm for high frequency disturbance rejection. This adaptive approach is robust to system variations, minimizes lower frequency phase penalty, and has been utilized for similar dynamic systems with supporting experimental validation. Development of the adaptive HHC algorithm for ASE suppression will be accomplished utilizing a high fidelity model of a representative high-speed fighter aircraft that is capable of parameter variation consisting of flight condition changes, configuration changes (stores configurations) as well as damage and failures. Validation of the proposed approach will be accomplished via simulation with representative parameter variations. Validation via real-time piloted simulations is proposed for future studies.

Principal Investigator:

Brian P. Danowsky
Principal Investigator
3106792281
bdanowsky@systemstech.com

Business Contact:

Thi Hagenbuechle
Business Official
3106792281
exec@systemstech.com
Small Business Information at Submission:

Systems Technology, Inc.
13766 Hawthorne Blvd. Hawthorne, CA 90250

EIN/Tax ID: 951957989
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No