DocumentCode :
2942119
Title :
PD-I(PD)-Type ILC for a Class of Nonlinear Systems
Author :
Liu, Bai-Shun ; Hao, Ying-Ze
Author_Institution :
Dept. of Battle & Command, Academe of Naval Submarine, Qingdao, China
Volume :
1
fYear :
2009
fDate :
11-12 April 2009
Firstpage :
832
Lastpage :
835
Abstract :
In this paper, we presents a new class of iterative learning control law for a class of nonlinear systems, denoted PD-IPD, which is composed by adding a derivative term in the integrator of PID learning control law. By using Bellman-Gronwall lemma, the simple explicit conditions on the learning gains to ensure convergence are provided in the sense of Lambda norm. An attractive feature of PD-IPD learning law is that it is of faster convergence speed and higher accuracy. The simulation example demonstrates the advantage and effectiveness of PD-IPD learning law.
Keywords :
PD control; adaptive control; iterative methods; learning systems; manipulators; nonlinear systems; position control; three-term control; Bellman-Gronwall lemma; Lambda norm; PD-IPD-type ILC; PD-IPD learning law; PID learning control law; iterative learning control law; nonlinear systems; trajectory tracking; two-link robot manipulators; Automation; Control systems; Convergence; Marine technology; Mechatronics; Nonlinear control systems; Nonlinear systems; Three-term control; Trajectory; Underwater vehicles; Convergence analysis; Iterative learning control; Nonlinear system; Robot control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
Type :
conf
DOI :
10.1109/ICMTMA.2009.433
Filename :
5203100
Link To Document :
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