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

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,985.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-06-M-3637
Award Id:
78945
Agency Tracking Number:
F061-237-2320
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1408 University Drive East, College Station, TX, 77840
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
AjayVerma
Research Scientist
(979) 260-5274
averma@kbsi.com
Business Contact:
DonielleMayer
Business Operations Manager
(979) 260-5274
dmayer@kbsi.com
Research Institute:
n/a
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.

* information listed above is at the time of submission.

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