REAL-TIME ADAPTIVE IDENTIFICATION AND PREDICTION OF FLUTTER

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: N/A
Agency Tracking Number: 12098
Amount: $499,820.00
Phase: Phase II
Program: SBIR
Awards Year: 1991
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
Scientific Systems, Inc.
500 West Cummings Park Suite 3, Woburn, MA, 01801
Duns: N/A
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Shahjahan Mahmood
 Senior Research Engineer
 (617) 933-5355
Business Contact
 RAMAN K. MEHRA
Title: PRESIDENT
Phone: (617) 933-5355
Research Institution
N/A
Abstract
THE EXISTING METHODS FOR THE IDENTIFICATION AND PREDICATION OF FLUTTER DAMPING CHARACTERISTICS ARE NOT SUFFICIENTLY ACCURATE OR FAST FOR REAL-TIME WIND TUNNEL OR FLIGHT TESTING. THE OBJECTIVE OF THE PROPOSED PHASE I RESEARCH IS TO DEMONSTRATE THAT RECENT DEVELOPMENTS IN SYSTEM IDENTIFICATION AND MODEL STRUCTURE DETERMINATION CAN BE DEVELOPED INTO RELIABLE AND AUTOMATIC SOFTWARE ON MICROPROCESSORS FOR THE IDENTIFICATION, TRACKING, AND PREDICTION OF CHANGING FLUTTER CHARACTERISTICS. THE PROPOSED PHASE I RESEARCH TO DEMONSTRATE THIS FEASIBILITY INCLUDES MODIFICATION OF THE CANONICAL VARIATE SYSTEM IDENTIFICATION AND STRUCTURE DETERMINATION ALGORITHMS TO HANDLE CHANGING SYSTEMS, THE USE OF SIMULTANEOUS CONFIDENCE BANDS FOR PREDICTION OF FLUTTER DAMPING CHARACTERISTICS, DEMONSTRATION OF THE MODIFIED ALGORITHMS OF FLUTTER DATA, AND EVALUATION OF THE COMPUTATIONAL AND STORAGE REQUIREMENTSFOR MICROPROCESSOR IMPLEMENTATION. THE ANTICIPATED RESULTS ARE THE DEMONSTRATION OF AN ALGORITHM SUITABLE FOR MICROPROCESSOR IMPLEMENTATION WHICH RELIABLY AND AUTOMATICALLY IDENTIFIES, TRACKS, AND PREDICTS THE CHANGING FLUTTER DYNAMICS.

* information listed above is at the time of submission.

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