摘要
为实现电驱动轨行试验平台在0~120 km/h速度区间内自控运行,设计了一套模糊比例积分微分(fuzzy PID)调速控制器。建立了车辆纵向动力学模型和传动系统模型,通过多次仿真实验确定了模糊PID参数,并且与经典PID算法和模糊PID算法的调速效果进行对比,明确了模糊PID算法控制效果更好。基于仿真拟定的参数进行现场试验,结果表明,基于模糊PID算法调速的控制系统能够有效实现速度与里程的自适应控制,系统性能满足电驱动平台运用需求。
In order to realize the automatic operation of the electric drive rail test platform in the speed range of 0⁃120 km/h,a set of fuzzy PID speed control controller is designed.In this paper,the vehicle longitudinal dynamics model and transmission system model are established,the fuzzy PID parameters are determined through multiple simulation experiments,and the speed regulation effect of the classical PID algorithm and the fuzzy PID algorithm are compared,and it is clear that the fuzzy PID algorithm has better control effect.Field tests are carried out based on the parameters proposed by simulation,and the results show that the control system based on fuzzy PID algorithm speed regulation can effectively realize the adaptive control of speed and mileage,and the system performance meets the application requirements of the electric drive platform.
作者
梁宁
高春雷
刘传
徐济松
周佳亮
LIANG Ning;GAO Chunlei;LIU Chuan;XU Jisong;ZHOU Jialiang(Postgraduate Department,China Academy of Railway Sciences,Beijing 100081,China;Infrastructure Inspection Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《中国工程机械学报》
北大核心
2024年第4期512-516,共5页
Chinese Journal of Construction Machinery
基金
中国铁道科学研究院集团有限公司资助基金(2023YJ215)。
关键词
控制系统
动力学模型
模糊PID
三角隶属函数
control system
autonomous driving
fuzzy PID
triangle membership function
