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METHODS FOR REDUCING PLASMA EFFECTS ON THE NASP

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
17938
Program Year/Program:
1993 / SBIR
Agency Tracking Number:
17938
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Accurate Automation Corporation
7001 Shallowford Road Chattanooga, TN 37421-1716
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1993
Title: METHODS FOR REDUCING PLASMA EFFECTS ON THE NASP
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $17,938.00
 

Abstract:

WE PROPOSE THE DEVELOPMENT OF AN INNOVATIVE NEUROCONTROLLER THAT GENERATES TRAJECTORIES WHICH REDUCE PLASMA EFFECTS ON THE COMMUNICATION SYSTEM OF THE NASP. WE WILL MODEL PLASMA SHEATH GENERATION AND INCORPORATE THIS MODEL INTO A GHAME FLIGHT SIMULATOR ON A SILICON GRAPHICS WORKSTATION. THIS MODEL WILL THEN BE USED IN THE DEVELOPMENT OF THE CONTROLLER AND SUITABLE ADAPTATION LAWS. COST FUNCTIONS WHICH MINIMIZE COMMUNICATIONS BLACKOUTS AND SIMILAR EFFECTS, AS WELL AS TYPICAL ENERGY CONSIDERATIONS, WILL BE RESEARCHED. WE WILL INVESTIGATE TRAINING THE NEUROCONTROLLER USING THE ADAPTIVE CRITIC NEURAL NETWORK BASED UPON THE HEURISTIC DYNAMIC PROGRAMMING, DUAL HEURISTIC PROGRAMMING, OR GLOBAL DUAL HEURISTIC PROGRAMMING CONCEPT. THE APPLICATION OF DRIVE REINFORCED LEARNING AND BACKPROPAGATION-THROUGH-TIME AS COMPONENTS OF THE ADAPTIVE CRITIC APPROACH WILL ALSO BE INVESTIGATED. THIS RESEARCH DRAWS UPON CONTROL THEORY TOGETHER WITH RECENT RESEARCH RESULTS IN NEURAL NETWORKS. THIS APPROACH OFFERS THE PROMISE OF INCREASINGLY INTELLIGENT AND MORE AUTONOMOUS FLIGHT CONTROLLERS, AND HAS ADVANTAGES OVER TRADITIONAL CONTROL APPROACHES.

Principal Investigator:

Robert M. Pap
6156224642

Business Contact:

Small Business Information at Submission:

Accurate Automation Corp
1548 Riverside Drive, Suite B Chattanooga, TN 37406

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