Innovative Guidance Algorithm to Increase Hit-to-Kill Intercept Accuracy

Award Information
Agency:
Department of Defense
Amount:
$70,000.00
Program:
SBIR
Contract:
DASG60-02-P-0111
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
Missile Defense Agency
Award Year:
2002
Phase:
Phase I
Agency Tracking Number:
02-1064
Solicitation Topic Code:
N/A
Small Business Information
Advanced Ceramics Research, Inc.
3292 E. Hemisphere Loop, Tucson, AZ, 85706
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
602374951
Principal Investigator
 Michael Fulcher
 Research Engineer
 (520) 573-6300
 m.fulcher@acrtucson.com
Business Contact
 Brett Waldo
Title: Controller
Phone: (520) 573-6300
Email: b.waldo@acrtucson.com
Research Institution
N/A
Abstract
"The high accuracies required by hit-to-kill interception places severe demands on interceptor maneuverability and flight control time response when engaging targets that are maneuvering either intentionally or unintentionally. A well-known guidance law foruse against a maneuvering target is augmented proportional navigation (APN). It has been recently demonstrated that the limitations of APN can be overcome through the use of a new non-linear guidance (NLG) algorithm. The maneuver advantage requirement ismuch less, and it is effective with time constants that would otherwise degrade the performance of APN. Results are based on a two dimensional non-linear model with the target performing a weave maneuver. The new algorithm can achieve increased interceptaccuracy under minimal maneuver advantage requirements over a wide range of initial conditions with reasonable levels of angle noise and target maneuver estimation error. Minimum maneuver advantage is essential in minimizing interceptor divert, and thus,minimizing weight and size. It is proposed that research be performed to refine the current NGL algorithm formulation and initiate the transition to executable code, with focus on implementing the algorithm on a 3-degree of freedom simulation with realword limitations on the availability, fidelity, and accuracy of measurement information. This research promises to contribute to future performance enhancements of those kill vehicles en

* information listed above is at the time of submission.

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