A Class of Disturbance-estimated Sliding Mode Control Strategy for Uncertain Networked Control System

2006 ◽  
Author(s):  
Liman Yang ◽  
Yunhua Li
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Control Strategy ◽  
Sliding Mode ◽  
Networked Control System ◽  
Networked Control ◽  
Mode Control

Sliding Mode Control Scheme for Tele-Operation Manipulator

2012 ◽  
Vol 246-247 ◽  
pp. 842-846
Author(s):  
Rui Tang
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Control Strategy ◽  
Sliding Mode ◽  
Working Environment ◽  
Position Tracking ◽  
Human Beings ◽  
Mode Control ◽  
Chattering Phenomenon ◽  
Manipulator Control

Master and slave manipulator has been widely used because it can work easily in the working environment where the human beings can hardly work. In order to make the manipulator control system have good tracking performance, a control strategy based on sliding mode control was proposed for master-slave manipulator control system. Considering that the quality and stability of servo system will be affected by the chattering phenomenon in the SMC, a reaching law approach was used to reduce the chattering phenomenon. The proposed control strategy can make the master and slave manipulator have good performances on force and position tracking, and the chattering problem has also been alleviated. Simulation and experiments results show that the proposed control strategy can produce good performances on the force and position tracking, the problem of chattering has also been inhibited significantly, and the stability and quality of the master and slave manipulator has been improved as well.

scholarly journals Hybrid Sliding Mode Control Technology of Electric Vehicle Based on Wireless Sensor

2017 ◽  
Vol 13 (05) ◽  
pp. 97
Author(s):  
Wenfang Zheng ◽  
Jincui Liu
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Sliding Mode ◽  
High Order ◽  
Convergence Time ◽  
Control Technology ◽  
Dual Mode ◽  
Mode Control

The purpose of this study is to solve defects of the existing control strategy long convergence time, sliding mode chattering and so on. For Sensorless Brushless DC motor control strategy, a modified extended Kalman state correction estimation scheme is proposed, and dual mode high-order non-singular terminal hybrid sliding mode control technology is put forward. TMS320F2812DSP core controller and CM200DY-12H inverter module and construction electric car core control module are established, and the program algorithm of the extended Kalman algorithm and hybrid sliding mode control is constructed. The results showed that the control system designed can suppress the system chattering, and the system has strong robustness, which has low requirement on the system model and can eliminate external disturbance input, showing outstanding performance in the convergence time and anti disturbance performance. In summary, a dual mode high-order non-singular terminal hybrid sliding mode control technology put forward is quite suitable for electric vehicle control system.

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