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SBIR/STTR

Incremental Sampling Algorithms for Robust Propulsion Control, Phase I

Completed Technology Project

Project Introduction

Incremental Sampling Algorithms for Robust Propulsion Control, Phase I
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. More »

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This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.

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