DocumentCode
637138
Title
Study on a combined scheme by using T-S fuzzy and TSMC approaches
Author
Xu, Sendren Sheng-Dong ; Yew-Wen Liang ; Kuo-Chin Wang ; Chih-Chiang Chen
Author_Institution
Grad. Inst. of Autom. & Control, Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear
2013
fDate
16-19 April 2013
Firstpage
38
Lastpage
44
Abstract
This study investigates the hybrid design by using the Takagi-Sugeno (T-S) fuzzy system modeling method and the Terminal Sliding Mode Control (TSMC) technique. The combined scheme is shown to have the merits of both approaches. The presented scheme can alleviate the on-line computational burden because T-S fuzzy model can approximate the original nonlinear system and some of the parameters can be off-line computed. Moreover, it can also preserve the advantages of TSMC, including rapid response, robustness to uncertainties and/or external disturbance, and guaranteeing the fast finite-time state convergence. The proposed method is applied to a two-link robot manipulator dynamics, and it is also compared to the combination of T-S fuzzy system and conventional Sliding Mode Control (SMC) design. Simulation results demonstrate the benefits of the proposed scheme.
Keywords
fuzzy systems; manipulators; nonlinear control systems; variable structure systems; T-S fuzzy approach; TSMC approach; fast finite-time state convergence; on-line computational burden; original nonlinear system; terminal sliding mode control technique; two-link robot manipulator dynamics; Computational modeling; Fuzzy systems; Manipulators; Nonlinear systems; Robustness; Sliding mode control; Takagi-Sugeno (T-S) fuzzy; Terminal sliding mode control (TSMC); nonlinear control; robot manipulator;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Control and Automation (CICA), 2013 IEEE Symposium on
Conference_Location
Singapore
Type
conf
DOI
10.1109/CICA.2013.6611661
Filename
6611661
Link To Document