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作 者:张瑞东 孟建军[1,2,3] 李德仓 胥如迅 ZHANG Ruidong;MENG Jianjun;LI Decang;XU Ruxun(Mechatronics T&R Institute,Lanzhou Jiaotong University,Lanzhou 730070 Gansu,China;Gansu Provincial Engineering Technology Center for Information of Logistics&Transport Equipment,Lanzhou 730070 Gansu,China;Gansu Provincial Industry Technology Center of Logistics&Transport Equipment,Lanzhou 730070 Gansu,China)
机构地区:[1]兰州交通大学机电技术研究所,兰州730070 [2]甘肃省物流及运输装备信息化工程技术研究中心,兰州730070 [3]甘肃省物流与运输装备行业技术中心,兰州730070
出 处:《铁道机车车辆》2023年第2期1-7,共7页Railway Locomotive & Car
基 金:国家自然科学基金(62063013)。
摘 要:针对传统PID控制在高速列车智能控制方面对环境干扰等因素过于敏感,结合模糊控制方法,提出基于模糊自适应PID控制的高速列车悬挂系统智能控制算法,搭建了17自由度半主动悬挂横向动力学模型,建立以阻尼系数作为控制器输出变量的模糊自适应PID控制策略,在MATLAB/Simulink模块中搭建列车悬架仿真模型。仿真结果表明:基于模糊自适应PID控制的半主动悬挂减振效果要明显好于传统PID控制算法下的悬挂系统,车辆行驶平稳性和乘客乘坐舒适度都有了显著提高。Traditional PID control is too sensitive to environmental interference and other factors in intelligent control of High-speed trains.Combined with fuzzy control methods,the intelligent control algorithm of high-speed train suspension system based on fuzzy adaptive PID control is proposed,a 17-degree-of-freedom semi-active suspension lateral dynamics model is constructed,the fuzzy adaptive PID control strategy with damping coefficient as the output variable of the controller is established,and the simulation model is constructed under MATLAB/Simulink environment.The simulation results show that the semi-active suspension dampening effect based on fuzzy adaptive PID control is significantly better than that of the suspension system under the traditional PID control algorithm,and the smoothness of the vehicle and the comfort of the passenger’s ride have improved significantly.
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