A Neural Network-Based Pilot-Aid for Rotorcraft Limit Avoidance

Award Information
Agency: Department of Defense
Branch: Army
Contract: N/A
Agency Tracking Number: 28727
Amount: $69,973.00
Phase: Phase I
Program: SBIR
Awards Year: 1995
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
Optimal Synthesis
450 San Antonio Road Suite 15, Palo Alto, CA, 94306
Duns: N/A
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr. P.k. Menon
 (415) 494-7569
Business Contact
Phone: () -
Research Institution
N/A
Abstract
An innovative application of the pattern recognition technology for the development of a rotorcraft limit avoidance system is proposed. The system is based on a feature extraction algorithm and an artificial neural network. Feature extraction and pattern classification systems are designed using flight vehicle database and rotorcraft performance models. Display requirements and feasibility demonstration aspects of the project are also discussed.

* information listed above is at the time of submission.

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