动车组制动性能受制动模式、运行环境、线路条件及乘务员操纵策略等因素影响,如何建立动车组制动过程的有效模型是实现动车组安全可靠制动的基础。基于 CRH2系列380AL型动车组制动特性曲线和运行数据,采用数据驱动建模方法,建立多个局部线性模型来描述动车组制动过程动态特性。基于累计误差最小的切换策略在线选择最佳匹配模型,并采用模糊自适应 PID 算法调节车速和准确停车。仿真结果表明:所提出的方法具有较好制动性能,可确保动车组高效安全节能运行。
Braking performance of electric multiple units(EMUs)is subj ect to braking models,running environ-ments,line conditions,drivers operations and other constraints.Establishing an effective model of the braking process constitutes the foundation for realizationg of safe and reliable braking operation.On the basis of the braking characteristics curves and operation data of EMU Type-380AL of series CRH2 (China Railway High-speed),multiple local linear models were built by data-driven modeling to describe the dynamic characteristics of the braking process.The model switching scheme was employed to fulfil online selection of the optimal matching model with the smallest accumulative errors.Then self-tuning of speed and accurate stopping were performed by the adaptive fuzzy PID control algorithm.Simulation results show the proposed method facili-tates good braking performance and ensures highly efficient,safe and energy-saving operation.