控制理论(社会学)
火车
PID控制器
非线性系统
人工蜂群算法
牵引(地质)
工程类
控制工程
控制器(灌溉)
跟踪误差
跟踪(教育)
计算机科学
控制(管理)
人工智能
温度控制
地理
物理
农学
生物
机械工程
量子力学
地图学
教育学
心理学
作者
Biao Wang,Jie Yang,Haining Jiao,Kuan Jun Zhu,Yuqi Chen
出处
期刊:Measurement
[Elsevier BV]
日期:2020-04-06
卷期号:160: 107812-107812
被引量:29
标识
DOI:10.1016/j.measurement.2020.107812
摘要
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.
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