Nonlinear control study on aircraft engine using a generalized minimum variance approach
Author(s) -
Bing Yu,
Yang Gao,
Jiqiang Wang
Publication year - 2016
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1177/1687814016667383
Subject(s) - turbofan , flight envelope , control theory (sociology) , controller (irrigation) , nonlinear system , propulsion , variance (accounting) , engineering , process (computing) , autoregressive model , nonlinear control , envelope (radar) , control engineering , aerodynamics , computer science , control (management) , automotive engineering , mathematics , aerospace engineering , agronomy , radar , physics , accounting , quantum mechanics , econometrics , artificial intelligence , business , biology , operating system
With the requirements of the advanced propulsion systems for aircraft control performance increasing, it has attracted the attention to design more efficient controller that is based on the nonlinear model over the flight envelope directly. A nonlinear aircraft engine control method based on generalized minimum variance approach is studied. A nonlinear autoregressive with extra input aircraft engine model for a certain turbofan engine is built and is chosen as the control plant in this study. Then, a controller is designed for the identification model based on the nonlinear generalized minimum variance theory. And simulation results manifest the controller to satisfy the requirements of the tracking with the transient process and the regulation with the steady process.
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