Intelligent total sliding-mode control with dead-zone parameter modification for a DC motor driver

2014 ◽  
Vol 8 (11) ◽  
pp. 916-926 ◽  
Author(s):  
Chun-Fei Hsu
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Dead Zone ◽  
Dc Motor ◽  
Mode Control ◽  
Zone Parameter ◽  
Parameter Modification ◽  
Dc Motor Driver

scholarly journals Sliding Mode Control for a DC Motor System with Dead-Zone

2021 ◽  
Vol 54 (6) ◽  
pp. 897-902
Author(s):  
Fezazi Omar ◽  
Abderrahmane Haddj El Mrabet ◽  
Imad Belkraouane ◽  
Youcef Djeriri
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Low Cost ◽  
Dead Zone ◽  
Dc Motor ◽  
Mode Control ◽  
Dc Motors ◽  
Experimental Implementation ◽  
Dspace 1104 ◽  
Friction Identification

Due to the simple structure of DC motors, the natural decoupling between torque and speed, and its low cost the DC motors have been widely used in electromechanical systems, the paper deals with the experimental method of DC motor Coulomb friction identification that caused the dead nonlinear zone and proposed a nonlinear model of the DC motor, then a sliding mode strategy is developed to control the DC motor in high and low speed for bidirectional operation, The experimental implementation using Dspace 1104 demonstrate that the proposed sliding mode control can achieve favorable tracking performance against non-linearities for a DC motor.

Chaotic Gyros Synchronization

2011 ◽  
pp. 183-209
Author(s):  
M. Roopaei ◽  
M. J. Zolghadri ◽  
B. S. Ranjbar ◽  
S. H. Mousavi ◽  
H. Adloo ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Dead Zone ◽  
Control Input ◽  
Mode Control ◽  
Fuzzy Sliding Mode ◽  
Robust Adaptive ◽  
Fuzzy Parameter

In this chapter, three methods for synchronizing of two chaotic gyros in the presence of uncertainties, external disturbances and dead-zone nonlinearity are studied. In the first method, there is dead-zone nonlinearity in the control input, which limits the performance of accurate control methods. The effects of this nonlinearity will be attenuated using a fuzzy parameter approximator integrated with sliding mode control method. In order to overcome the synchronization problem for a class of unknown nonlinear chaotic gyros a robust adaptive fuzzy sliding mode control scheme is proposed in the second method. In the last method, two different gyro systems have been considered and a fuzzy controller is proposed to eliminate chattering phenomena during the reaching phase of sliding mode control. Simulation results are also provided to illustrate the effectiveness of the proposed methods.

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