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Adaptive Trajectory Reshaping and Control System for RLVs (ATRC)

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
67814
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
F041-247-2299
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: 2004
Title: Adaptive Trajectory Reshaping and Control System for RLVs (ATRC)
Agency / Branch: DOD / USAF
Contract: FA8650-04-M-3428
Award Amount: $99,970.00
 

Abstract:

The ultimate goal of the proposed Adaptive Trajectory Reshaping and Control (ATRC) System is to develop technology that allows autonomous RLVs to avoid catastrophic failure when subjected to performance restricting damages and failures. The main focus in Phase-1 is to develop and demonstrate real time solution techniques for reconfigurable control and guidance system, including on-line reshaping of vehicle trajectories under uncertain damage/failure scenario. The proposed ATRC approach overcomes the challenges for determining online trajectories such as, determining a feasible trajectory solution that satisfies not only non-linear differential equations of motions of the vehicle, but also various end-point, in-flight and effectors saturation controls. A major outcome of this effort is the algorithm for a real time on-line trajectory generation application considering that the effort involves the solution of two-point boundary value problem for a non-flat (under-actuated) non-linear differential equation of motion. Our approach solves a set of algebraic equations, yet strictly satisfying the non-linear differential equations of a non-flat system. ATRC also dynamically estimates the uncertain aerodynamic coefficients and projects it along with corresponding probability distribution of expectation downstream. Another highlight of the proposal is optimization of trajectory provides a maximum margin in overcoming the downstream uncertainties in parameters.

Principal Investigator:

Ajay Verma
Researcher
9792605274
averma@kbsi.com

Business Contact:

Donielle Mayer
Business Operations Manager
9792605274
dmayer@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