High speed tracking control of Stewart platform manipulator via enhanced sliding mode control

2002 ◽  
Author(s):  
Nag-In Kim ◽  
Chong-Won Lee
Keyword(s):  
Sliding Mode Control ◽  
Tracking Control ◽  
High Speed ◽  
Sliding Mode ◽  
Stewart Platform ◽  
Mode Control ◽  
Speed Tracking ◽  
Speed Tracking Control

Dynamic Modeling and Sliding Mode Control of a 2-DOF Spherical Parallel Mechanism With a Passive Branch

2014 ◽  
Author(s):  
Bin Chen ◽  
Jingjun Yu ◽  
Guanghua Zong ◽  
Jing Kuang
Keyword(s):  
Sliding Mode Control ◽  
Tracking Control ◽  
Parallel Mechanism ◽  
High Speed ◽  
Controller Design ◽  
Sliding Mode ◽  
Lyapunov Theory ◽  
Control Approach ◽  
Mode Control ◽  
Spherical Parallel Mechanism

This paper presents a dynamic analysis and a sliding mode control approach for high speed tracking control of a 2-DOF spherical parallel mechanism with a redundant branch. The kinematics of this mechanism is briefly introduced, two of three branches are actuated and the rest one is a passive branch. The dynamic model is built based on Lagrange method and simplified to develop a real-time controller. The control scheme is designed given that only the angle and angular velocity of actuators are measureable. First a Quasi-sliding mode control algorithm is proposed to compensate the parameter perturbation and reduce the chattering phenomenon, and then the trending law is introduced to decrease the regulation time of tracking control. Lyapunov theory is performed to guarantee that the controller design is stable. Finally, experiment based on a prototype of SPM is carried out to verify the effectiveness of the proposed method.

Sliding mode control for direct current motor system with multi-channels and external disturbances

2021 ◽  
pp. 095965182110559
Author(s):  
Yong Chen ◽  
Longyu Xu ◽  
Meng Li ◽  
Gafary Mahmoud
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Dc Motor ◽  
Second Order ◽  
External Disturbances ◽  
Mode Control ◽  
Speed Tracking ◽  
Twisting Algorithm ◽  
Speed Tracking Control

To solve the deficiencies of speed-tracking control for DC motor systems with multiple transmission channels and external disturbances in recent remote-control systems, a second-order super twisting sliding mode control method is proposed. First, the model of a DC motor with multiple channels and external disturbances is considered. Then, an observer in the form of the super twisting algorithm is presented to estimate the states of the system. Furthermore, a second-order super twisting sliding mode control algorithm based on the super twisting observer is designed to track the speed of the DC motor. In this, a nonlinear term is constructed to restrain the external disturbances and jitters while switching among the channels. Also, the proposed method is testified to be stable. Finally, both simulations and practical experiments are conducted to demonstrate the availability of the methodology.

Sliding Mode Control of an Actuated Knee Joint Orthosis

2021 ◽  
Vol 15 ◽  
Author(s):  
Imen Saidi ◽  
Asma Hammami
Keyword(s):  
Sliding Mode Control ◽  
Lower Limb ◽  
Sliding Mode ◽  
Position Tracking ◽  
Sliding Mode Controller ◽  
Mechanical Device ◽  
Tracking Errors ◽  
Mode Control ◽  
Speed Tracking ◽  
Human Morphology

Introduction: In this paper, a robust sliding mode controller is developed to control an orthosis used for rehabilitation of lower limb. Materials and Methods: The orthosis is defined as a mechanical device intended to physically assist a human subject for the realization of his movements. It should be adapted to the human morphology, interacting in harmony with its movements, and providing the necessary efforts along the limbs to which it is attached. Results: The application of the sliding mode control to the Shank-orthosis system shows satisfactory dynamic response and tracking performances. Conclusion: In fact, position tracking and speed tracking errors are very small. The sliding mode controller effectively absorbs disturbance and parametric variations, hence the efficiency and robustness of our applied control.

scholarly journals Research on predictive sliding mode control strategy for horizontal vibration of ultra-high-speed elevator car system based on adaptive fuzzy

2021 ◽  
Vol 54 (3-4) ◽  
pp. 360-373
Author(s):  
Hong Wang ◽  
Mingqin Zhang ◽  
Ruijun Zhang ◽  
Lixin Liu
Keyword(s):  
Sliding Mode Control ◽  
High Speed ◽  
Sliding Mode ◽  
Mode Switching ◽  
Parameter Uncertainties ◽  
Horizontal Vibration ◽  
Adaptive Fuzzy ◽  
Mode Control ◽  
System A ◽  
Ultra High Speed

In order to effectively suppress horizontal vibration of the ultra-high-speed elevator car system. Firstly, considering the nonlinearity of guide shoe, parameter uncertainties, and uncertain external disturbances of the elevator car system, a more practical active control model for horizontal vibration of the 4-DOF ultra-high-speed elevator car system is constructed and the rationality of the established model is verified by real elevator experiment. Secondly, a predictive sliding mode controller based on adaptive fuzzy (PSMC-AF) is proposed to reduce the horizontal vibration of the car system, the predictive sliding mode control law is achieved by optimizing the predictive sliding mode performance index. Simultaneously, in order to decrease the influence of uncertainty of the car system, a fuzzy logic system (FLS) is designed to approximate the compound uncertain disturbance term (CUDT) on-line. Furthermore, the continuous smooth hyperbolic tangent function (HTF) is introduced into the sliding mode switching term to compensate the fuzzy approximation error. The adaptive laws are designed to estimate the error gain and slope parameter, so as to increase the robustness of the system. Finally, numerical simulations are conducted on some representative guide rail excitations and the results are compared to the existing solution and passive system. The analysis has confirmed the effectiveness and robustness of the proposed control method.

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