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Mission Planning and Operation Director (M-POD) for Space Access Vehicles

Award Information

Agency:
Department of Defense 		Branch:
Air Force 		Award ID:
78945 		Program Year/Program:
2006 / SBIR
Agency Tracking Number:
F061-237-2320 		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 -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2006
Title: Mission Planning and Operation Director (M-POD) for Space Access Vehicles
Agency / Branch: DOD / USAF
Contract: FA8650-06-M-3637
Award Amount: $99,985.00
 

Abstract:

The ultimate goal of the proposed Mission Planning and Operation Director (M-POD) for Space Access Vehicles, is to develop a novel radical approach for mission planning and operation that uses principles of dynamic inversion and constraint orthogonal polynomial basis (COPB) functions for solving a two-point boundary value problem for a non-flat (under-actuated) non-linear differential equation of motion. The successful M-POD technology will allow mission planners to prepare a complete mission plan in a matter of hours instead of months. MPOD architecture is envisioned with an off-line component that defines and designs an optimal and nominal mission plan, and an online component that assists in overcoming any off-nominal conditions by trajectory reshaping and retargeting. Another major outcome of this effort is the advancement in the technology for real time on-line trajectory solution under feasibility constraints. The COPB functions facilitate implementation of boundary and in-flight constraints and the dynamic inversion approach allows solving a set of algebraic equations, strictly satisfying the non-linear differential equations of motion. Our recent investigations have demonstrated that combination of dynamic inversion and smooth trajectory functional representation using COPB functions, provide a powerful technique for fast computation of feasible trajectories for a dynamical system.

Principal Investigator:

Ajay Verma
Research Scientist
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