Design of auto disturbance rejection controller for train traction control system based on artificial bee colony algorithm

• Published in: Measurement : journal of the International Measurement Confederation Vol. 160; p. 107812
• Main Authors: Wang, Biao, Yang, Jie, Jiao, Haining, Zhu, Kuan, Chen, Yuqi
• Format: Journal Article
• Language: English
• Published: London Elsevier Ltd 01.08.2020; Elsevier Science Ltd
• Subjects: Algorithms; Artificial bee colony algorithm; Computer simulation; Controllers; Freight; Freight train; Freight trains; Mathematical models; Nonlinear Active Disturbance Rejection Controller; Nonlinear control; Parameters; Proportional integral derivative; Rejection; Search algorithms; Speed tracking; Swarm intelligence; Tracking control; Tracking control systems; Tracking errors; Traction control systems; Trains; Nonlinear Active Disturbance Rejection Controller; Freight train; Artificial bee colony algorithm; Speed tracking
• ISSN: 0263-2241; 1873-412X
• DOI: 10.1016/j.measurement.2020.107812

•Simulation model of train speed tracking control system.•Nonlinear auto disturbance rejection controller based on train is proposed.•Artificial intelligence algorithm optimizes controller parameters.•Time-delay control model of train. This paper focuses on train running speed tracking control of electric traction freight train. The physical model of freight train is more complex and the parameters are more unstable than other trains. Therefore, the traditional PID controller is affected by the unmodeled dynamic and unknown parameter changes, resulting in large and unstable train speed tracking error. The design of NLADRC(Nonlinear Active Disturbance Rejection Controller, NLADRC) algorithm based on the time-delay control model of train in this paper. It reduces the dependence on the train model itself and has good tracking performance. The NLADRC gives full play to the strong function and high efficiency of the nonlinear function, while the introduction of the artificial bee colony algorithm with excellent experience effectively solves the problem that the parameters of the NLADRC algorithm are difficult to be adjusted. In the simulation, part of the mechanical delay of the system are regarded as internal and external disturbance, the results show that compared with the traditional PID algorithm, this algorithm has the advantages of high tracking accuracy, strong anti-interference ability and faster response speed.