DocumentCode :
2477277
Title :
A PID-IMP type iterative learning controller
Author :
Xu, Jinxue ; Zhao, Qi ; Wang, Xiangdong
Author_Institution :
Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
785
Lastpage :
789
Abstract :
A PID-IMP type iterative learning controller is proposed to harness the nonrepetitive output disturbance with known repeating patterns. A new uniform framework to design the PID-IMP type ILC controller and new theory to optimize the parameters are established for much wider applicable field. The algorithm has higher convergence speed and convergence precision than previous algorithms. Simulation examples are presented to illustrate the effectiveness of the proposed method.
Keywords :
adaptive control; convergence; iterative methods; learning systems; three-term control; PID-IMP type iterative learning controller; convergence; internal model principle; nonrepetitive output disturbance; Automation; Convergence; Delay effects; Design optimization; Hydrogen; Information science; Intelligent control; Iterative algorithms; Three-term control; Uncertainty; Internal model principle; Nonrepetitiveness; PID type iterative learning controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593022
Filename :
4593022
Link To Document :
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