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Model-Based Control of an Aircraft Engine using an Optimal Tuner Approach
Author(s) -
Joseph W. Connolly,
Amy Chicatelli,
Sanjay Garg
Publication year - 2012
Publication title -
nasa sti repository (national aeronautics and space administration)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2012-4257
Subject(s) - tuner , automotive engineering , computer science , control (management) , aeronautics , aerospace engineering , control engineering , engineering , radio frequency , telecommunications , artificial intelligence
This paper covers the development of a model-based engine control (MBEC) methodology applied to an aircraft turbofan engine. Here, a linear model extracted from the Commercial Modular Aero-Propulsion System Simulation 40,000 (CMAPSS40k) at a cruise operating point serves as the engine and the on-board model. The on-board model is updated using an optimal tuner Kalman Filter (OTKF) estimation routine, which enables the on-board model to self-tune to account for engine performance variations. The focus here is on developing a methodology for MBEC with direct control of estimated parameters of interest such as thrust and stall margins. MBEC provides the ability for a tighter control bound of thrust over the entire life cycle of the engine that is not achievable using traditional control feedback, which uses engine pressure ratio or fan speed. CMAPSS40k is capable of modeling realistic engine performance, allowing for a verication of the MBEC tighter thrust control. In addition, investigations of using the MBEC to provide a surge limit for the controller limit logic are presented that could provide benets over a simple acceleration schedule that is currently used in engine control architectures.

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