This paper covers the development of a model-based engine control (MBEC) methodology featuring a self tuning on-board model applied to an aircraft turbofan engine simulation. Here, the Commercial Modular Aero-Propulsion System Simulation 40,000 (CMAPSS40k) serves as the MBEC application engine. CMAPSS40k is capable of modeling realistic engine performance, allowing for a verification of the MBEC over a wide range of operating points. The on-board model is a piece-wise linear model derived from CMAPSS40k and 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. Investigations using the MBEC to provide a stall margin limit for the controller protection logic are presented that could provide benefits over a simple acceleration schedule that is currently used in traditional engine control architectures.
Model-Based Control of a Nonlinear Aircraft Engine Simulation using an Optimal Tuner Kalman Filter Approach
2013
30 pages
Report
No indication
English
Aircraft , Combustion, Engines, & Propellants , Air Transportation , Aerodynamics , Avionics , Turbofan engines , Aircraft control , Simulation , Aircraft models , Engine control , Aircraft engines , Kalman filters , Nonlinearity , Propulsion system performance , Modularity , Fuel flow , Pressure ratio
Optimal Tuner Selection for Kalman Filter-Based Aircraft Engine Performance Estimation
Online Contents | 2010
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