Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive

2013 ◽  
Vol 9 (4) ◽  
pp. 1922-1936 ◽  
Author(s):  
Fayez F. M. El-Sousy
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Induction Motor ◽  
High Performance ◽  
Sliding Mode ◽  
Servo Drive ◽  
Adaptive Dynamic ◽  
Mode Control ◽  
Dynamic Sliding Mode Control ◽  
Dynamic Sliding Mode

A Novel Sliding Mode Motion Control for Parallel Mechanism of Virtual Axis Machine Tool

2011 ◽  
Vol 138-139 ◽  
pp. 523-528
Author(s):  
Guo Qin Gao ◽  
Hai Bin Zheng ◽  
Xue Mei Niu
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Machine Tool ◽  
Motion Control ◽  
Parallel Mechanism ◽  
Sliding Mode ◽  
External Disturbances ◽  
Mode Control ◽  
Dynamic Sliding Mode Control ◽  
Dynamic Sliding Mode

This paper addresses the motion control of the parallel mechanism of virtual axis machine tool, which has a complex system model, the nonlinear and strong coupling characteristics and has strong external disturbances in high-speed machining. To further enhance its motion control performances, a novel adaptive dynamic sliding mode control method is proposed. The designed control system stability is proved theoretically. By building a new switching function, the second-order dynamic sliding mode control algorithm is designed to reduce the chattering of the conventional sliding mode control effectively and overcome the adverse effects of the fast changing dynamics of the actuators. By introducing the adaptive control, unknown external disturbances can be estimated online, which can improve the ability of resisting strong disturbances and the control precision of virtual axis machine tool. The simulation results for the virtual axis machine tool show that the designed control system has the good performances in tracking and resisting strong disturbances and can achieve the high precision motion control of the parallel mechanism of virtual axis machine tool.

scholarly journals Modelling, Simulation and Dynamic Sliding Mode Control of a MEMS Gyroscope

Micromachines ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 190
Author(s):  
Yunmei Fang ◽  
Wen Fu ◽  
Cuicui An ◽  
Zhuli Yuan ◽  
Juntao Fei
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Time Derivative ◽  
Control Variable ◽  
Sliding Mode Controller ◽  
Control Input ◽  
Adaptive Dynamic ◽  
Mode Control ◽  
Dynamic Sliding Mode Control ◽  
Dynamic Sliding Mode

An adaptive dynamic sliding mode control via a backstepping approach for a microelectro mechanical system (MEMS) vibratory z-axis gyroscope is presented in this paper. The time derivative of the control input of the dynamic sliding mode controller (DSMC) is treated as a new control variable for the augmented system which is composed of the original system and the integrator. This DSMC can transfer discontinuous terms to the first-order derivative of the control input, and effectively reduce the chattering. An adaptive dynamic sliding mode controller with the method of backstepping is derived to real-time estimate the angular velocity and the damping and stiffness coefficients and asymptotical stability of the designed systems can be guaranteed. Simulation examples are investigated to demonstrate the satisfactory performance of the proposed adaptive backstepping sliding mode control.

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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