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
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;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066725
