摘要
动力稳定车能够有效改善有砟轨道道床质量状态,然而其现有作业模式将导致轨道水平产生劣化;为解决此问题,结合有砟轨道道床累积下沉理论,采用试验方式研究了轨道下沉量与动力稳定车速度、左右侧下压力和频率之间的函数关系,进而建立了轨道水平变化量与稳定装置左右侧下压力差之间的传递函数模型;针对稳定车的轨道水平检测方式,引入前馈-反馈控制与Smith预估补偿,进行预先调节并保证检测滞后系统的闭环稳定性,同时采用灰狼混合粒子群算法(GWO-PSO)进行PID参数寻优;在Simulink仿真环境下,搭建了轨道水平防劣化控制系统,仿真结果表明,采用前馈反馈-Smith预估控制策略,利用GWO-PSO算法进行PID参数寻优,可以使系统的ITAE指标改善19.66%,动态性能得到提升;在模拟线路仿真中,该控制系统使得轨道水平不平顺幅值降低了52.1%,有效的改善动力稳定车作用下的轨道水平劣化问题。
Dynamic track stabilizers can effectively improve the quality of ballast track bed,however,its current operation mode will lead to the deterioration of ballast track cross level.To solve this problem,combined with the cumulative subsidence theory of the ballasted track bed,experimental methods are used to investigate the functional relationship between the amount of track sinkage and the speed,as well as the left and right side downforces and the frequency of the dynamic track stabilizer,and to establish the transfer function model between the horizontal change of the track and the both side downforce difference of the stabilizer.For the track level detection of the dynamic track stabilizer,feedforward-feedback control and Smith's prediction compensation methods are introduced to preadjust and ensure the closed-loop stability of the lag detection system,while a grey wolf hybrid particle swarm algorithm(GWO-PSO)is used to optimize PID parameters.In Simulink simulation environment,a track level anti-deterioration control system is built.Simulation results show that the feedforward-feedback and Smith's prediction control strategy and PID parameter optimization method by the GWO-PSO can improve the ITAE of the system by 19.66%with an increase in dynamic performance.In analog circuit simulation,the control system reduces the magnitude of track level irregularity by 52.1%,which effectively improves the track level degradation under the action of dynamic track stabilizers.
作者
秦会杰
邓威
郭宁
陈春俊
李要宗
陈春阳
孙晓毅
QIN Huijie;DENG Wei;GUO Ning;CHEN Chunjun;LI Yaozong;CHEN Chunyang;SUN Xiaoyi(The 725th Research Institute,China Shipbuilding Industry Corporation,Luoyang 471000,China;School of Mechanical Engineering,Southwest Jiaotong University,Chengdu 610031,China)
出处
《计算机测量与控制》
2025年第11期200-209,235,共11页
Computer Measurement & Control
