摘要
针对中速磁悬浮列车运行控制系统的高控制精度与高鲁棒性要求,提出一种基于分数阶PID的运行控制方法。首先,根据中速磁悬浮列车运行数据,利用粒子群优化-模拟退火算法辨识列车空气阻力系数,提高列车动力学模型精度。然后,设计分数阶PID速度控制器,跟踪列车目标速度曲线,降低各类运行阻力对列车运行过程的影响。最后,基于试验线数据,仿真对比分数阶PID与整数阶PID控制下的列车运行性能。仿真结果表明,本文提出的运行控制算法,能够提高列车的速度控制性能,满足中速磁悬浮交通对列车运行控制的性能要求。
In response to the the requirements of high control precision and high robustness of medium-speed maglev train operation control system,a fractional order PID-based operation control method was proposed in this paper.Firstly,based on medium-speed maglev train operation data,a particle swarm optimization-simulated annealing algorithm was used to identify the coefficients of train air resistance and improve the accuracy of train dynamic model.Secondly,a fractional order PID velocity controller was designed to track the target speed curve of the train and reduce the influence of various running resistances on the train operation process.Finally,based on the test line data,the train operation performance under fractional order PID and integer order PID control was simulated and compared.The simulation results show that the proposed operation control algorithm can effectively improve the speed operation control performance of the train and meet the requirements of medium-speed maglev transportation for train operation control.
作者
张文静
曹博文
李宽欣
高亚苹
岳强
徐洪泽
ZHANG Wenjing;CAO Bowen;LI Kuanxin;GAO Yaping;YUE Qiang;XU Hongze(School Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;CRRC Tangshan Co.,Ltd.,Tangshan 064000,China)
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2022年第2期42-48,共7页
Journal of the China Railway Society
基金
国家重点研发计划(2016YFB1200601,2016YFB1200602)
航空科学基金(2019010M5001)。
关键词
中速磁悬浮列车
运行控制
分数阶PID
粒子群优化-模拟退火算法
medium-speed maglev train
operation control
fractional order PID
particle swarm optimization-simulated annealing algorithm