Research on Speed Control of Fuzzy PID Shunting ATO System Based on Smith Predictor
To address the complexities of shunting operations in railway stations and yards,the research and development of a shunting-based automatic train operation(ATO)system can help effectively reduce labor intensity and enhance the efficiency of station operations.The speed control strategy represents a key and difficult aspect of the system.A transfer function model is developed and unstable factors within the model parameters are analyzed according to the characteristics of the shunting traction control system and braking control system.Utilizing the advantages of Smith prediction in handling time-delay systems and incorporating a fuzzy PID algorithm,a fuzzy PID controller based on the Smith predictor(referred to as the"new controller")is designed.Through the simulation of instability of model parameters,step response curves and the driver's practical operation speed curves are used for the simulation to compare the control effects of the conventional PID controller,the fuzzy PID controller,and the new controller.The results indicate that the new controller exhibits superior adaptability and provides better speed tracking performance and stop precision.
shunting ATO systemSmith predictorfuzzy controlPIDspeed control
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