摘要
利用虚拟参考反馈整定VRFT方法,可根据被控对象的一组输入和输出数据完成控制器设计的特点,提出一种基于智能VRFT的城市轨道交通列车速度控制方法;VRFT方法中的参考模型决定了控制器的闭环性能,通过粒子群优化算法PSO,对控制器参数和参考模型参数进行全局协同优化,设计出最优PID控制器。仿真结果表明:该方法能够优化PID控制器的设计,有效控制城市轨道交通列车速度。
The Virtual Reference Feedback Tuning(VRFT) method completes the design of a controller according to a set of input and output data of the controlled object, therefore, a method of train speed control based on intelligent VRFT is proposed for urban rail transit. The closed-loop performance of the controller can be determined by the reference model used in the VRFT method,and the Particle Swarm Optimization(PSO) algorithm is adopted to globally cooperatively optimize the parameters of the PID controller and those of the reference model for train speed control for designing the optimal PID controller. The simulation results show that this method can achieve the optimal design of the PID controller and effectively control train speed of urban rail transit.
作者
曹鹏
张兵建
秘慧杰
刘永建
Cao Peng;Zhang Bingjian;Bei Huijie;Liu Yongjian
出处
《铁道通信信号》
2022年第7期87-90,共4页
Railway Signalling & Communication
