Discovering and Optimizing New NonLinear Flight Control Laws Through Genetic Programming

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$350,000.00
Award Year:
1996
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
26602
Agency Tracking Number:
26602
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
908 East Meadow Drive, Palo Alto, CA, 94303
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
P. K. Menon, Ph.d.
(415) 493-5567
Business Contact:
() -
Research Institute:
n/a
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.

* information listed above is at the time of submission.

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