Adaptive fuzzy position control for electrical servodrive via total-sliding-mode technique

2005 ◽  
Vol 152 (6) ◽  
pp. 1489 ◽  
Author(s):  
C.-C. Kung ◽  
K.-H. Su
Keyword(s):  
Position Control ◽  
Sliding Mode ◽  
Adaptive Fuzzy ◽  
Mode Technique ◽  
Sliding Mode Technique

Robust adaptive position control of automotive electronic throttle valve using PID-type sliding mode technique

2016 ◽  
Vol 85 (2) ◽  
pp. 1331-1344 ◽  
Author(s):  
Hai Wang ◽  
Linfeng Liu ◽  
Ping He ◽  
Ming Yu ◽  
Manh Tuan Do ◽  
...  
Keyword(s):  
Position Control ◽  
Sliding Mode ◽  
Electronic Throttle ◽  
Automotive Electronic ◽  
Throttle Valve ◽  
Robust Adaptive ◽  
Mode Technique ◽  
Sliding Mode Technique

scholarly journals Iterative Learning Control Based on Sliding Mode Technique for Hybrid Force/Position Control of Robot Manipulators

2021 ◽  
Author(s):  
Xinxin Zhang ◽  
Huafeng Ding ◽  
Min Li ◽  
Andrés Kecskeméthy
Keyword(s):  
Iterative Learning Control ◽  
Degrees Of Freedom ◽  
Position Control ◽  
Sliding Mode ◽  
Robot Manipulators ◽  
Learning Control ◽  
Iterative Learning ◽  
Planar Parallel Manipulator ◽  
Mode Technique ◽  
Sliding Mode Technique

Abstract In this paper, an iterative learning control (ILC) method based on sliding mode technique is proposed for hybrid force/position control of robot manipulators. Different from traditional ILC, the main purpose of the proposed ILC is to learn the dynamic parameters rather than the control signals. The sliding mode technique is applied to enhance the robustness of the proposed ILC method against external disturbances and noise. The switching gain of the sliding mode term is time-varying and learned by ILC such that the chattering is suppressed effectively compared to traditional sliding mode control (SMC). Simulation studies are performed on a two degrees of freedom planar parallel manipulator. Simulation results demonstrate that the proposed method can achieve higher force/position tracking performance than the traditional SMC and ILC.

Robust Control for Uncertain Unified Chaotic Systems with Input Nonlinearity via Improved Sliding Mode Technique

2011 ◽  
Vol 474-476 ◽  
pp. 2100-2105
Author(s):  
Xiao Jing Wu ◽  
Xue Li Wu
Keyword(s):  
Robust Control ◽  
Chaotic Systems ◽  
Sliding Mode ◽  
Lyapunov Theory ◽  
Chen System ◽  
Input Nonlinearity ◽  
Adaptive Parameter ◽  
Unified Chaotic Systems ◽  
Mode Technique ◽  
Sliding Mode Technique

This paper investigates the robust control problem of the uncertain unified chaotic systems subject to sector input nonlinearity. First, the adaptive parameter is introduced for designing sliding surface such that the parameters of the unified chaotic system are not necessary to know. Then, based on Lyapunov theory, the controller is designed via sliding mode technique, which cancels the assumption that the information on the bound of input nonlinearity should be known for designer in advance. Finally, the sliding mode controller is applied to ensure that different uncertain chaotic systems (Lorenz system, Lü system and Chen system) states can be regulated to zero levels asymptotically in the presence of sector input nonlinearity. The simulation results demonstrated the effectiveness of the proposed controller.

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