Adaptive fuzzy terminal sliding mode control of DC-DC buck converters via PSoC

2010 ◽  
Author(s):  
Ya-Ting Lee ◽  
Chian-Song Chiu ◽  
Chih-Teng Shen
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Buck Converters ◽  
Terminal Sliding Mode Control ◽  
Terminal Sliding Mode ◽  
Adaptive Fuzzy ◽  
Mode Control

scholarly journals Terminal Sliding Mode Control Using Adaptive Fuzzy-Neural Observer

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Dezhi Xu ◽  
Bin Jiang ◽  
Moshu Qian ◽  
Jing Zhao
Keyword(s):  
Sliding Mode Control ◽  
Closed Loop ◽  
Sliding Mode ◽  
The State ◽  
Adaptive Observer ◽  
Terminal Sliding Mode Control ◽  
Terminal Sliding Mode ◽  
Adaptive Fuzzy ◽  
Mode Control ◽  
Fuzzy Neural

We propose a terminal sliding mode 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.

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