TITLE

Terminal Sliding Mode Control Using Adaptive Fuzzy-Neural Observer

AUTHOR(S)
Dezhi Xu; Bin Jiang; Moshu Qian; Jing Zhao
PUB. DATE
January 2013
SOURCE
Mathematical Problems in Engineering;2013, p1
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
We propose a terminal slidingmode control (SMC) law based on adaptive fuzzy-neural observer for nonaffine nonlinear uncertain system. First, a novel nonaffine nonlinear approximation algorithm is proposed for observer and controller design. Then, an adaptive fuzzy-neural observer is introduced to identify the simplified model and resolve the problem of the unavailability of the state variables. Moreover, based on the information of the adaptive observer, the terminal SMC law is designed. The Lyapunov synthesis approach is used to guarantee a global uniform ultimate boundedness property of the state estimation error and the asymptotic output tracking of the closed-loop control systems in spite of unknown uncertainties/disturbances, as well as all the other signals in the closed-loop system. Finally, using the designed terminal sliding mode controller, the simulation results on the dynamic model demonstrate the effectiveness of the proposed new control techniques.
ACCESSION #
94814267

 

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics