Fractional Order Adaptive Kalman Filter for Sensorless Speed Control of DC Motor

Author(s):  
Ravi Pratap Tripathi ◽  
Ashutosh Kumar Singh ◽  
Pavan Gangwar
2016 ◽  
Vol 835 ◽  
pp. 673-680
Author(s):  
Chermdhong Prattanaruk ◽  
J. Srisertpol

The speed control system of DC motor normally uses increasing of electric current and voltage for obtaining required speed and torque with regardless of effects from variable of load torque to system. Including that noise will make some errors in speed and torque control. This research aims to present a method for developing the high accuracy in speed control of DC motor by a technique of adaptive torque compensation that is evolved on Lyapunov stability and using Kalman filter for screening out the evident noises in the system. Results reveals that the adaptive torque compensator evolved from the Lyapunov stability can compensate a stable torque and when it is worked with Kalman filter, it can compensate torque correctly and can control more accuracy of motor speed.


2012 ◽  
Vol 150 ◽  
pp. 129-132 ◽  
Author(s):  
Zhong Qiao Zheng ◽  
Yan Hong Zhang ◽  
Jian Sheng Zhang

PID controller is widely used in industry field, but when the industry presence exists noise interference, it is difficult for the conventional PID controller to achieve the expected control effect, in view of this situation, the method of combinating Kalman filter with the PID control is studied in this paper, the DC motor speed control system is simulated, the results shows that the PID controller based on Kalman filter is better to inhibit the effect of white noise, and it has a good dynamic response characteristics.


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