Notice of Retraction: Fuzzy PID Sliding Mode Controller Design for the Position Control of a DC Motor

2009 ◽  
Author(s):  
Mohsen Fallahi ◽  
Sassan Azadi
Keyword(s):  
Position Control ◽  
Controller Design ◽  
Sliding Mode ◽  
Dc Motor ◽  
Sliding Mode Controller ◽  
Fuzzy Pid

Discrete Sliding Mode Controller Design Based on the Suboptimal LQR Approach

2003 ◽  
Author(s):  
Wen-Chun Yu ◽  
Gou-Jen Wang
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Performance Index ◽  
Control Algorithm ◽  
Position Control ◽  
Controller Design ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Control Loop ◽  
External Loads

A systematic and simple discrete sliding mode controller design scheme based on the suboptimal approach is presented. The behaviors of the control system can be determined through a preferred performance index. The AC servomotor position control is obtained using only the q-axis voltage control loop. The proposed method is simulated and experimented to verify the capability of this new sliding mode control algorithm. Properties such as easy implementation, fast resonse, and robust to external loads are demonstrated.

scholarly journals Super-Twisting Algorithm Applied to Velocity Control of DC Motor without Mechanical Sensors Dependence

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6041
Author(s):  
Fredy A. Valenzuela ◽  
Reymundo Ramírez ◽  
Fermín Martínez ◽  
Onofre A. Morfín ◽  
Carlos E. Castañeda
Keyword(s):  
Controller Design ◽  
Sliding Mode ◽  
Dc Motor ◽  
Experimental Results ◽  
Resistive Load ◽  
Velocity Control ◽  
Velocity Sensor ◽  
Control Scheme ◽  
Mechanical Sensors ◽  
Twisting Algorithm

A DC motor velocity control in feedback systems usually requires a velocity sensor, which increases the controller cost. Additionally, the velocity sensor used in industrial applications presents several disadvantages such as maintenance requirements and signal conditioning. In this work, we propose a robust velocity control scheme applied to a DC motor based on estimation strategies using a sliding-mode observer. This means that measurements with mechanical sensors are not required in the controller design. The proposed observer estimates the rotational velocity and load torque of the motor. The controller design applies the exact-linearization technique combined with the super-twisting algorithm to achieve robust performance in the closed-loop system. The controller validation was carried out by experimental tests using a workbench, which is composed of a control and data acquisition Digital Signal Proccessor board, a DC-DC electronic converter, an interface board for signals conditioning, and a DC electric generator connected to an adjustable resistive load. The simulation and experimental results show a significant performance of the proposed control scheme. During tests, the accuracy, robustness, and speed response on the controller were evaluated and the experimental results were compared with a classic proportional-integral controller, which uses a conventional encoder.

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