DocumentCode
581695
Title
Iterative Learning Control of hysteresis nonlinearity system
Author
Wei, Wang ; Xinlong, Zhao
Author_Institution
Coll. of Mech. Eng. & Autom., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear
2012
fDate
25-27 July 2012
Firstpage
1070
Lastpage
1072
Abstract
Hysteresis nonlinearity can result in the degradation of system performance and even lead to instability. A control method based on ILC (Iterative Learning Control) is proposed to control the nonlinear system with hysteresis. First, appropriate updating law is selected to design the ILC controller. Then optimal control signal is chosen by means of iterative learning. Finally, the system output can continually converge to the expectation. This method has good performance and can improve the precision of system. The simulation result shows the effectiveness of the proposed method.
Keywords
control nonlinearities; hysteresis; iterative methods; learning systems; optimal control; stability; ILC; hysteresis nonlinearity system; instability; iterative learning control; nonlinear system; optimal control signal; system performance degradation; updating law; Control systems; Fuzzy systems; Hysteresis; Mechatronics; Precision engineering; hysteresis; iterative learning; updating law;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390083
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