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16 February 2023 Intelligent speed control method based on fuzzy disturbance rejection PID algorithm for the Maglev train
Lingfeng Hu, Kuangang Fan, Yaofeng Tang
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Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 1259136 (2023) https://doi.org/10.1117/12.2668554
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China
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.
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Lingfeng Hu, Kuangang Fan, and Yaofeng Tang "Intelligent speed control method based on fuzzy disturbance rejection PID algorithm for the Maglev train", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 1259136 (16 February 2023); https://doi.org/10.1117/12.2668554
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KEYWORDS
Control systems
Fuzzy logic
Technology
Computer simulations
Analytical research
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