Advanced Rocket Trajectory Propagation Techniques

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-18-C-7406
Agency Tracking Number: B17C-002-0075
Amount: $99,998.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: MDA17-T002
Solicitation Number: 2017.0
Timeline
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-04-19
Award End Date (Contract End Date): 2018-10-18
Small Business Information
632 Broadway, Suite 803, New York, NY, 10012
DUNS: 022423854
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr. Paul Mountcastle
 (212) 780-0527
 mountcastle@reservoir.com
Business Contact
 Ms. Melanie Peters
Phone: (212) 780-0527
Email: peters@reservoir.com
Research Institution
 Johns Hopkins University
 Mr. Donald Panda
 Research Administration
1101 E. 33rd Street, B001
Baltimore, MD, 21218
 (443) 997-1941
 Nonprofit college or university
Abstract
Reservoir Labs and Johns Hopkins University will develop alternative numerical solution techniques that improve computational loading, data storage, and data integrity for rocket vehicle trajectory modeling in MDA federated simulations.The objective of this program is to develop new techniques for trajectory propagation that are more suited for use in federated simulations than traditional methods.Runge-Kutta methods have been the standard for numerically solving a system of differential equations to propagate rocket vehicle trajectories. While these methods are robust and have well characterized errors, Runge-Kutta methods have limitations for high-resolution federated simulations. These limitations include extensive computational throughput requirements and large output data sets. Other limitations include the need to perform time-step matching between component simulations, and to determine the states for federated simulation events between the calculated time-steps.Our approach helps mitigate all of these difficulties with traditional missile trajectory representations based on time-stepped position and orientation data.Approved for Public Release | 18-MDA-9522 (23 Feb 18)

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

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