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Incremental Sampling Algorithms for Robust Propulsion Control

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
104342
Solicitation Year:
2010
Solicitation Topic Code:
A1.08
Solicitation Number:
Small Business Information
Aurora Flight Sciences Corporation
9950 Wakeman Drive Manassas, VA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2011
Title: Incremental Sampling Algorithms for Robust Propulsion Control
Agency: NASA
Contract: NNX11CD76P
Award Amount: $99,960.00
 

Abstract:

Aurora Flight Sciences proposes to develop a system for robust engine control based on incremental sampling, specifically Rapidly-Expanding Random Tree (RRT) algorithms. In this concept, the task of accelerating or decelerating the engine is treated as a path planning exercise. The control system actively searches for actuator inputs that allow the engine to traverse power settings without entering undesired regions of operation. The search is based on the sequential construction of control actions that satisfy feasibility constraints given the system dynamics. These algorithms have been proven to converge to the optimal solution through repeated iteration. RRTs allow for an efficient search of the solution space, reducing the computational expense of determining the best sequence of inputs with which to control the engine. This allows an efficient, online method for an engine to adapt and recalibrate to unexpected operational conditions.

Principal Investigator:

Nathan Fitzgerald
Principal Investigator
6175000279
nfitzgerald@aurora.aero

Business Contact:

Scott Hart
Financial Analyst
6175000536
shart@aurora.aero
Small Business Information at Submission:

Aurora Flight Sciences Corporation
9950 Wakeman Drive Manassas, VA -

EIN/Tax ID: 541502935
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No