Train section delay prediction error control method

TL;DR: In this article, a train section delay prediction error control method is proposed for rail transit operation control, which consists of the following steps: firstly, determining a state variable for describing a train-section delay prediction, and establishing an ordinary differential equation set for describing the train-sections delay prediction errors; constructing a delay-prediction error cascade control model according to the ordinary differential equations set; and finally, determining optimal control parameters of the delay prediction cascade controlmodel through a method of combining an artificial fish swarm intelligent algorithm and an SIMULINK simulation tool.

Abstract: The invention provides a train section delay prediction error control method, which belongs to the technical field of rail transit operation control, and comprises the following steps of: firstly, determining a state variable for describing a train section delay prediction error, and establishing an ordinary differential equation set for describing the train section delay prediction error; constructing a delay prediction error cascade control model according to the ordinary differential equation set; secondly, determining optimal control parameters of the delay prediction error cascade controlmodel through a method of combining an artificial fish swarm intelligent algorithm and an SIMULINK simulation tool; and finally, minimizing train arrival time prediction errors and departure time prediction errors of the current station and the previous station according to the optimal control parameters. According to the method, a new analytical optimization process is introduced, the control theory is applied to the train section delay prediction error problem, and automatic control reduction of the train section delay prediction error is achieved.