Advanced Modeling and Control for Aeroservoelastic Design

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-08-M-3838
Agency Tracking Number: F081-086-0858
Amount: $99,959.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: AF081-086
Solicitation Number: 2008.1
Small Business Information
BARRON ASSOC., INC.
1410 Sachem Place, Suite 202, Charlottesville, VA, 22901
DUNS: 120839477
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jason Burkholder
 Principal Research Scientist
 (434) 973-1215
 barron@bainet.com
Business Contact
 Connie Hoover
Title: General Manager
Phone: (434) 973-1215
Email: barron@bainet.com
Research Institution
N/A
Abstract
It is well-understood that actuator nonlinearities, such as free-play, can induce limit cycle oscillations (LCO) in otherwise stable closed-loop systems. In flight control systems, free-play specifications are often set conservatively in order to preclude free-play-induced LCO. However, conservative free-play requirements can increase the manufacturing cost of actuators and give rise to a costly program of regular inspections. An analytical method to safely relax free-play limits could significantly reduce actuator manufacturing and lifecycle costs. Importantly, in addition to accurate aeroelastic modeling to predict LCO, proven adaptive control methods exist to mitigate the effects of uncertain actuator nonlinearities, such as free-play. Thus, maximum benefit would be derived from a tool that combines accurate aeroservoelastic modeling and adaptive control to relax free-play manufacturing tolerances, mitigate the adverse closed-loop effects of actuator free-play, and adapt to changes in free-play over time. Barron Associates and its partners propose to develop an Advanced Modeling and Control for Aeroservoelastic Design (AMCAD) Toolbox to provide the Air Force with a rigorous analytical method to establish safe free-play limits for flight control surfaces. AMCAD will feature our recently-developed, computationally-efficient aeroelastic flutter prediction methodology and a proven adaptive control technique for actuator nonlinearity compensation.

* information listed above is at the time of submission.

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