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Turbofan Engines Robust Multivariable Control System

Posted on:2007-06-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y T WangFull Text:PDF
GTID:2192360182978956Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
This thesis is from APTD project "the Research of advanced Control Arithmetic and its Application" .This thesis mainly researchs the application of multivariable robust control algorithm in the aeroengine control using the LQG/LTR(Linear Quadratic Gaussian with Loop Transfer Recovery) method .At first, basing on the response of the small perturbing of the nonlinear aeroengine model, the fitting method is adopted to get the linear state variable model. In accordance with the LQG/LTR design step, the aeroengine control system has been designed with a particular description. In order to control the aeroengine well in the full-envelope, the gains are scheduled by using the neural network. As the gains of LQG/LTR controller commonly very large, the sixth chapter discusses the LQG/LTR method with non-fully recovery in order to reduce the gains. In the end, the aeroengine controller is designed andresearched by using LQL (Linear quadratic L2 bounded uncertainties) method.Simulations of the control system in the flight envelope have been performed. Excellent performance and robustness are obtained, and demands of the aeroengine are reached.The project has been ratified by APTD professors in Jan 2006.
Keywords/Search Tags:aeroengine control, robust, LQG/LTR, singular value, neural network, non-fully recovery, LQL
PDF Full Text Request
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