ADAPTIVE FUZZY SLIDING MODE CONTROL OF NONLINEAR-SYSTEM

Authors
Citation
B. Yoo et W. Ham, ADAPTIVE FUZZY SLIDING MODE CONTROL OF NONLINEAR-SYSTEM, IEEE transactions on fuzzy systems, 6(2), 1998, pp. 315-321
Citations number
14
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence","Engineering, Eletrical & Electronic
ISSN journal
10636706
Volume
6
Issue
2
Year of publication
1998
Pages
315 - 321
Database
ISI
SICI code
1063-6706(1998)6:2<315:AFSMCO>2.0.ZU;2-W
Abstract
In this paper, the fuzzy approximator and sliding mode control (SMC) s cheme are considered, We propose two methods of adaptive SMC schemes t hat the fuzzy logic systems (approximators) are used to approximate th e unknown system functions in designing the SMC of nonlinear system. I n the first method, a fuzzy logic system is utilized to approximate th e unknown function f of the nonlinear system x((n)) = f((x) under bar, t) + b((x) under bar, t)u and the robust adaptive law is proposed to reduce the approximation errors between the true nonlinear functions a nd fuzzy approximators, In the second method, two fuzzy logic systems are utilized to approximate the f and b, respectively, and the control law, which is robust to approximation error is also designed, The sta bilities of proposed control schemes are proved and these schemes are applied to an inverted pendulum system. The comparisons between the pr oposed control schemes are shown in simulations.