中国铁道科学2023，Vol.44Issue(6)：162-171,10.DOI:10.3969/j.issn.1001-4632.2023.06.17
基于时延补偿的高速列车无线网络多幂次滑模控制策略
Multi-Power Sliding Mode Control Strategy of High-Speed Train Wireless Network Based on Time Delay Compensation
摘要
Abstract
The existence of wireless network time delay is the key problem restricting the development of wireless communication network for high-speed train.Time delay samples are obtained by building a semi-physical network control test platform based on wireless communication.Aiming at the high complexity of time delay,a processing method combining complementary ensemble empirical mode decomposition(CEEMD)and singular value decomposition(SVD)is proposed.Sample entropy is introduced to reduce the amount of computation.Finally,LSSVM model optimized by chaotic particle swarm optimization is used to complete time delay prediction.Taking traction-brake module of high-speed train as the controlled object,a sliding mode controller based on multi-power reaching law is designed for time delay compensation.Chaotic particle swarm optimization algorithm is used to optimize the controller parameters intelligently.Integrated time and absolute error(ITAE)are improved into ITAE*for the fitness function to reduce the tracking error and improve the response speed.The results show that the sample entropy of the maximum component is reduced from'above 2.7'to'below 2.0'using CEEMD decomposition.After secondary treatment with SVD,the sample entropy of Intrinsic Mode Function 1(IMF1)component with rest of the maximum sample entropy reduced to 1.5,which effectively reduces the difficulty of prediction.After improvement,Mean Square Error(MSE),Mean Absolute Error(MAE)and Mean Absolute Percentage Error(MAPE)of delay prediction are reduced to 0.1396,0.2964 and 0.0083 respectively,and the prediction accuracy is improved.For longer time delay,ITAE*index is only 0.136％of that before compensation,and the cumulative absolute error of speed tracking is 0.696％of that before compensation.The speed and racking curve have no obvious vibration when the running state of the high-speed train changes and can quickly return to the stable state when the train encounters disturbance.The research results can provide a new approach to introducing wireless network control for high-speed trains.关键词
高速列车无线通信网络/互补集合经验模态分解/粒子群算法/滑模控制/时延补偿Key words
Wireless communication network for high-speed train/Complementary ensemble empirical mode decomposition/Particle swarm optimization algorithm/Sliding mode control/Time delay compensation分类
交通工程引用本文复制引用
刘洋,窦顺坤,张丽艳..基于时延补偿的高速列车无线网络多幂次滑模控制策略[J].中国铁道科学,2023,44(6):162-171,10.基金项目
辽宁省教育厅科学研究项目(JDL2020020) （JDL2020020）
