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Hardware-in-the-loop test bed for magnetic field navigation

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8651-19-P-0111
Agency Tracking Number: F19A-018-0018
Amount: $149,890.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF19A-T018
Solicitation Number: 19.A
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-05-30
Award End Date (Contract End Date): 2020-05-30
Small Business Information
1233 Shelburne Road
South Burlington, VT 05403
United States
DUNS: 602124174
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mark Steinhoff
 Vice President - Engieering
 (802) 238-8958
Business Contact
 Spencer Rouen
Phone: (802) 999-6451
Research Institution
 The Pennsylvania State University, Applied Research Laboratory
 Nicholas V. Saluzzi Nicholas V. Saluzzi
P.O. Box 30
State College, PA 16804
United States

 (215) 682-4019
 Nonprofit College or University

Arrow Tech Associates (ATA) has teamed with Penn State Applied Research Lab (PSU ARL) in this Phase 1 STTR effort to combine our experience relating to magnetometers, GNC and HWILs to create a reliable and repeatable HWIL test bed which emulates a magnetic environment. This will allow testing of the feasibility of utilizing publicly available databases of the Earth’s magnetic field to augment current GNC technologies. ATA and PSU ARL’s approach is to develop a requirements document for a magnetic HWIL test bed with input from AFRL. The team will then develop a baseline concept design for a prototype magnetic HWIL. A Matlab/SIMULINK model of the system will be developed to simulate system performance, behavior, and tolerances, including all sub-system models. A magnetic vector application server will be developed to provide magnetic vectors to the HWIL for any latitude, longitude, and altitude. These systems will be combined together in a proof of concept prototype that will generate varying magnetic scenes onto a test magnetometer, which in turn will provide feedback to a simulation and validate the design. Future efforts will be focused on scaling the design to allow testing of munitions of interest.

* Information listed above is at the time of submission. *

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