Incremental Sampling Algorithms for Robust Propulsion Control

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,960.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
NNX11CD76P
Award Id:
n/a
Agency Tracking Number:
104342
Solicitation Year:
2010
Solicitation Topic Code:
A1.08
Solicitation Number:
n/a
Small Business Information
MA, Cambridge, MA, 02142-1189
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
604717165
Principal Investigator:
Nathan Fitzgerald
Principal Investigator
(617) 500-0279
nfitzgerald@aurora.aero
Business Contact:
Scott Hart
Financial Analyst
(617) 500-0536
shart@aurora.aero
Research Institution:
Stub




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.

* information listed above is at the time of submission.

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