Variable Structure Control of the Brushless DC Motor

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.

2011 ◽  
Vol 130-134 ◽  
pp. 1963-1967 ◽  
Author(s):  
E Zhao ◽  
Bao Wei Song

In order to solve the problem of general fins and rudders being lower at low moving speed, the moving mass technical is applied onto AUV, thus to radically solve the weakness of control method with fin and rudder. The space dynamics model of moving mass control is created for AUV. And based on this, the moving mass control system is designed with the sliding mode variable structure control method so as to ensure system tracking error zero convergence. By controlling the moving mass movement with moving mass control system, the attitude of AVU is previously controlled. And simulation result proves that moving mass control system will control the AUV attitude angle precisely and rapidly.


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.


2012 ◽  
Vol 503-504 ◽  
pp. 1116-1119
Author(s):  
Zhuan Zhao Liu ◽  
De Shang Chang ◽  
Xin Jian Liu

With the shortage of the petroleum resources day by day, the fuel oil price is becoming higher and higher. The ship companies want to use the heavy diesel oil and inferior fuel with lower price for the marine diesel. Temperature is a variable with great inertia. Using the PID control algorithm, which will lead to the consequence of over correction in the controlling process, the advantage of sliding mode variable structure control is the small over correction. In this paper, based on thermodynamics and heat transfer theory, the mathematical model of temperature control system is built, the sliding mode movement equation and the sliding mode variable structure controller is obtained. This makes the application of temperature control take the advantage of sliding mode variable structure control.


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