Intelligent speed control method based on fuzzy disturbance rejection PID algorithm for the Maglev train

Abstract

The speed tracking control system of maglev trains has the characteristics of complexity, instability, and multiple disturbances. The traditional speed tracking control algorithm has low tracking accuracy, large tracking errors and easy external interference, so it will increase train energy consumption and reduce passengers’ riding comfort. In order to improve the deficiencies in the existing control algorithms, the disturbance rejection PID (DR-PID) algorithm based on fuzzy control (F-DR-PID) is proposed. The DR-PID controller increases the anti-disturbance capability and tracking accuracy of the control system, and the fuzzy control algorithm adjusts the three weights of the DR-PID in real time. To verify the effectiveness of the F-DR-PID control algorithm, this paper is compared and analyzed with PID, F-PID and DR-PID control algorithms under the same experimental conditions. The results show that the F-DR-PID control algorithm has better tracking accuracy and passengers’ riding comfort and reduces train energy consumption and parking error.