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Active Projectile Course Correction System (APCC)

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
57932
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
A012-2062
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Knowledge Based Systems, Inc.
1408 University Drive East College Station, TX 77840-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2002
Title: Active Projectile Course Correction System (APCC)
Agency / Branch: DOD / ARMY
Contract: DAAE30-02-C-1057
Award Amount: $69,806.00
 

Abstract:

"The main goal of this Phase I project is to demonstrate the feasibility of an Active Projectile Course Correction System (APCC) for a Light Fighter Lethality (LFL) Seeker High Explosive Projectile. An APCC system consists of a control and guidancealgorithm for a projectile seeking an identified target through an infrared seeker. For the success of this project, there are three major areas where focus is required. First, there is a need for development of a reliable trajectory estimation algorithmbased on sensed data. Second, there is a need to develop an on-board reliable feedback mechanism for course correction of the projectile. Third, there is need for development of a real time discrete control system for trajectory course correction. In thisproposal, the key innovation is the control and guidance of a projectile trajectory for tracking a moving target using an on-board seeker. Some of the expected outcome of this project would be as follows. Real time ballistic projectile trajectoryestimation using Data Fusion and Kalman Filtering. Synchronization of the image seeking activity using a flagging system with proper projectile orientation. Optimal desired trajectory computation using inverse dynamics. Target tracking using discretecontrols for navigation and guidance. PACC will result in the development of some generic algorithms such as data fusion and Kalman filtering for enhancing the reliability of sensor data., discrete contro

Principal Investigator:

Ajay Verma
Researcher
9792605274
averma@kbsi.com

Business Contact:

Perakath Benjamin
VP R&D
9792605274
pbenjamin@kbsi.com
Small Business Information at Submission:

Knowledge Based Systems, Inc.
1408 University Drive East College Station, TX 77840

EIN/Tax ID: 742505334
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No