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Fast Online Prediction of Aircraft State Trajectories (FORECAST) System

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
90260
Program Year/Program:
2009 / STTR
Agency Tracking Number:
N09A-005-0479
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA 01801-6562
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Fast Online Prediction of Aircraft State Trajectories (FORECAST) System
Agency / Branch: DOD / NAVY
Contract: N68335-09-C-0590
Award Amount: $69,999.00
 

Abstract:

The SSCI team proposes to develop and test the on-board Fast Online pREdiCtion of Aircraft State Trajectories (FORECAST) system, using minimum state information such as 3-D position of a threat aircraft, to generate predicted trajectories and reachable sets T seconds into the future. It will be based on a nonlinear constrained stochastic model of aircraft dynamics involving rapid maneuvering, advanced nonlinear filtering techniques, and the design of the predicted exclusion zone for the aircraft operating in the vicinity of the threat aircraft. The algorithms used to develop the FORECAST technology will include: multi-model nonlinear filtering using Interacting Multiple Models; Extended Kalman Filter; Fokker Planck Equation; and exclusion zone calculation using stochastic feedback version of the Rapidly-exploring Random Trees algorithm. In Phase I, we will test the FORECAST system on a simplified scenario simulation. The Option will include extensive testing on a higher-fidelity simulation. In Phase II, we will continue algorithm development, perform extensive simulations and flight testing at MIT''s RAVEN facility, and develop the FORECAST software toolbox. Our academic partner, Prof. Jonathan How of MIT, brings in a wealth of expertise and experience in the area of 4-D trajectory planning, autonomous UAV control, multi-agent collaboration, and advanced flight test facilities.

Principal Investigator:

Jovan Boscovic
Group Leader, Auton. & Int. Control
7819335355
Jovan.Boskovic@ssci.com

Business Contact:

Jay Miselis
Corporate Controller
7819335355
contracts@ssci.com
Small Business Information at Submission:

Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA 01801

EIN/Tax ID: 043053085
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
MIT
77 Massachusetts Avenue
Room 33-236
Cambridge, MA 2139
Contact: Jonathan How
Contact Phone: (617) 253-3267
RI Type: Nonprofit college or university