Adaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems

2016 ◽  
Vol 29 (8) ◽  
Keyword(s):  
Nonlinear Systems ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Adaptive Fuzzy ◽  
Mode Control ◽  
Dynamic Sliding Mode Control ◽  
Dynamic Sliding Mode

scholarly journals Adaptive Fuzzy Backstepping Control of MEMS Gyroscope Using Dynamic Sliding Mode Approach

2015 ◽  
Vol 44 (4) ◽  
pp. 380-386
Author(s):  
Yunmei Fang ◽  
Zhuli Yuan ◽  
Juntao Fei
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Backstepping Control ◽  
Control Input ◽  
Adaptive Fuzzy ◽  
Mode Control ◽  
Dynamic Sliding Mode Control ◽  
Micro Electromechanical System ◽  
Dynamic Sliding Mode

In this paper, a dynamic sliding mode control using adaptive fuzzy backstepping (DSMCAFB) approach for a micro-electromechanical system (MEMS) vibratory z-axis gyroscope is presented. Based on an adaptive fuzzy backstepping control method, a dynamic sliding mode control is proposed to compensate and adjust the external disturbances and model uncertainties. The fuzzy control method with adaptive backstepping control design can avoid depending on the system model and approximate the system nonlinearities well. What’s more ,it can make the controller have the ability to learn and adjust the fuzzy parameters in real time. In addition, dynamic sliding mode control can transfer discontinuous terms to the first-order derivative of the control input in order to effectively reduce the chattering. The simulation studies are investigated to demonstrate the satisfactory performance of the proposed method.DOI: http://dx.doi.org/10.5755/j01.itc.44.4.9110

Fractional Dynamic Sliding Mode Control for uncertain chaotic systems Applied to a Chaotic Robot arm under dynamic load.

2020 ◽  
Vol 10 ◽  
Author(s):  
Sara Gholipour P ◽  
Sara Minagar ◽  
Javad Kazemitabar ◽  
Mobin Alizadeh
Keyword(s):  
Sliding Mode Control ◽  
Chaotic Systems ◽  
Control Method ◽  
Sliding Mode ◽  
Qualitative And Quantitative ◽  
Mode Control ◽  
Quantitative Characteristics ◽  
Dynamic Sliding Mode Control ◽  
Dynamic Sliding Mode ◽  
Qualitative And Quantitative Characteristics

Background: A novel type of control strategy is presented for control of chaotic systems particularly a chaotic robot in joint and workspace which is the result of applying fractional calculus to dynamic sliding mode control. Objectives: To guarantee the sliding mode condition, control law is introduced based on the Lyapunov stability theory. Methods: A control scheme is proposed for reducing the chattering problem in finite time tracking and robust in presence of system matched disturbances. Conclusion: Also, all of chaotic robot's qualitative and quantitative characteristics have been investigated. Numerical simulations indicate viability of our control method. Results: Qualitative and quantitative characteristics of the chaotic robot are all proven to be viable thru simulations.

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