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
fDate :
May 31 2015-June 3 2015
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;
Conference_Titel :
Control Conference (ASCC), 2015 10th Asian
Conference_Location :
Kota Kinabalu, Malaysia
DOI :
10.1109/ASCC.2015.7244905
