DocumentCode
2095467
Title
Hybrid control based on type-2 fuzzy-iterative learning control strategies with stewart platform for repetitive trajectories
Author
Huang, Chin-I ; Wang, Ruei-Siang
Author_Institution
Graduate Institute of Electrical Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan, R.O.C
fYear
2015
fDate
May 31 2015-June 3 2015
Firstpage
1
Lastpage
5
Abstract
In this study, the hybrid control based on type-2 fuzzy-iterative learning control (HT2F-ILC) is extended from the basic iterative learning control (ILC) for tracking trajectories. The interval type-2 fuzzy logic control strategy is like an instructor based on the saturation function for tuning weighting to improve the performance limitation of basic iterative learning controller with Stewart platform. And HT2F-ILC indeed improves the performance of the basic ILC effectively that prove the effectiveness and feasibility of the controller.
Keywords
Fuzzy logic; Kinematics; Manipulator dynamics; Trajectory; HT2F-ILC; Hybrid Control; Iterative Learning Control; Stewart Platform; Type-2 Fuzzy Control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ASCC), 2015 10th Asian
Conference_Location
Kota Kinabalu, Malaysia
Type
conf
DOI
10.1109/ASCC.2015.7244905
Filename
7244905
Link To Document