DocumentCode
2180337
Title
Global convergence iterative learning controller design for aeroengine nozzle actuating system
Author
Fu, Jiangfeng ; Li, Huacong ; Han, Xiaobao ; Peng, Kai
Author_Institution
Sch. of Power & Energy, Northwestern Polytech. Univ., Xi´´an, China
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
2068
Lastpage
2071
Abstract
To improve the tracking and global convergence performance, a iterative learning controller is designed for aeroengine nozzle actuating system. The global convergence and design method of this iterative learning controller are derived. The rapid and accurate tracking performances of the designed controller are illustrated by simulation on an aeroengine nozzle actuating system. Then the feasibility and effectiveness of the controller design method are verified.
Keywords
aerospace engines; control system synthesis; convergence of numerical methods; iterative methods; learning (artificial intelligence); nozzles; tracking; aeroengine nozzle actuating system; global convergence iterative learning controller design; tracking performance; actuating; aeroengine; global convergence; iterative learning control; nozzle; system;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Zhejiang
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6066725
Filename
6066725
Link To Document