Torque ripple attenuation for brushless DC motors via adaptive variable structure control

Author(s):  
H. Melkote ◽  
F. Khorrami
2011 ◽  
Vol 345 ◽  
pp. 79-82
Author(s):  
Xu Gang Wang ◽  
Xin Hua Li

In order to increase the degree of the angular velocity tracking precision of the brushless DC motors control system, the controller is designed using the variable structure control with sliding mode. The mathematical model of the brushless DC motors is built. The sliding mode function includes tracking error and the differential coefficient of the tracking error. In order to alleviate the chattering, the saturation function replaces the sign function. The simulation result show the tracking precision is high and the controller output has not obvious chattering. The controller meets the tracking precision of he brushless DC motors control system.


2020 ◽  
Vol 20 (3) ◽  
pp. 720-730
Author(s):  
Shikai Sun ◽  
Hui Guo ◽  
Yimeng Zhang ◽  
Yupeng Jia ◽  
Hongliang Lv ◽  
...  

2014 ◽  
Vol 596 ◽  
pp. 584-589
Author(s):  
Xi Jie Yin ◽  
Jian Guo Xu

The sliding mode variable structure control method for brushless DC motors with uncertain external disturbances and unknown loads is studied. A neural sliding mode control scheme is proposed for reducing chattering of sliding mode control. A global sliding mode manifold is designed in this approach, which guarantees that the system states can be on the sliding mode manifold at initial time and the system robustness is increased. A radial basis function neural network (RBFNN) is applied to learn the maximum of unknown loads and external disturbances. Based on the neural networks, the switching control parameters of sliding mode control can be adaptively adjusted with uncertain external disturbances and unknown loads. Therefore, the chattering of the sliding mode controller is reduced. Simulation results proved that this control scheme is valid.


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