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Discovering and Optimizing New NonLinear Flight Control Laws Through Genetic…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
26602
Program Year/Program:
1996 / SBIR
Agency Tracking Number:
26602
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Optimal Synthesis, Inc.
95 First Street, Suite 240 Los Altos, CA 94022-2777
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1996
Title: Discovering and Optimizing New NonLinear Flight Control Laws Through Genetic Programming
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $350,000.00
 

Abstract:

Synthesis of radically new feedback guidance and control laws for high performance aircraft using genetic programming is proposed. Starting from an initial population of computer programs implementing familiar flight control laws, the proposed methodology employs the processes of natural selection and genetics to synthesize new populations of computer programs exhibiting improved degrees of fitness. Phase I research will involve the development of a flight control system and an intercept guidance system. Fitness criterion for flight control includes factors such as stability, robustness, tracking performance and flying qualities. Fitness criterion for guidance law consists of time-to-intercept, intantaneous acceleration magnitude and line-of-sight rate. The proposed method will produce directly implementable flight control computer code in ANSI C language.

Principal Investigator:

P. K. Menon, Ph.d.
4154935567

Business Contact:

Small Business Information at Submission:

Optimal Synthesis
908 East Meadow Drive Palo Alto, CA 94303

EIN/Tax ID: 770484475
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No