摘要
针对传统的高速列车悬挂系统模型在面对外界随机误差和零部件故障等情形时,导致模型参数同步精度下降、预测结果与实际情况不一致的问题,提出了一种数字孪生模型自适应实时修正方法。首先提取悬挂系统运动特性的关键动力学参数,并考虑载荷误差来建立集总模型和增广矩阵的孪生模型。定义了误差比值参数实时判别并区分随机波动和参数突变两种情形,引入了惩罚权重和可变遗忘因子对不同情形进行自适应实时修正。在此基础上,提出了自适应加权权重的渐消记忆递推最小二乘法,根据物理实体的输入数据,完成模型参数的递推与同步。最后,通过悬挂系统的实例分析并与现有方法对比,验证所提方法的有效性。
The traditional high-speed train suspension system model,when encountering external random errors and component failures,may lead to a decrease in the synchronization accuracy of model parameters and inconsistencies between predicted results and actual conditions.To address this issue,an adaptive real-time correction method for digital twin model was proposed.The key dynamic parameters of the suspension system kinematic characteristics were extracted,and the load error was considered to establish the digital twin model of the set total model and the augmentation matrix.The real-time discrimination of the error ratio parameter was defined,and two cases such as random fluctuation and sudden parameter change were distinguished.Penalty weights and variable forgetting factors were introduced for adaptive real-time correction of different cases.On this basis,the asymptotic memory recursive least squares method with adaptive weighting weights was proposed.According to the real-time input data of physical entities,the recursion and updating of synchronization parameters were completed.Finally,the validity of the proposed method was demonstrated by the verification of the suspension system that compared with existing methods.
作者
刘新宇
韩旭
王泓晖
谢迎春
田晓洁
刘贵杰
LIU Xinyu;HAN Xu;WANG Honghui;XIE Yingchun;TIAN Xiaojie;LIU Guijie(College of Engineering,Ocean University of China,Qingdao 266100,China)
出处
《计算机集成制造系统》
北大核心
2025年第8期3011-3020,共10页
Computer Integrated Manufacturing Systems
基金
国家重点研发计划资助项目(2020YFB1708003)
泰山学者工程专项经费资助项目(ts20190914)。
关键词
数字孪生
悬挂系统
自适应更新
实时修正
参数同步
digital twin
suspension system
adaptive update
real-time correction
parameter synchronization
作者简介
刘新宇(1998-),男,山东潍坊人,硕士研究生,研究方向:数字孪生,E-mail:liuxy0526@qq.com;韩旭(1998-),男,山东泰安人硕士研究生,研究方向:数字孪生,E-mail:858515991@qq.com;王泓晖(1989-),男,山东潍坊人,副教授,博士,研究方向:数字孪生、反向设计、智能制造等,E-mail:honghui264@163.com;谢迎春(1977-),女,安徽巢湖人教授,博士,研究方向:海洋平台、海洋装备等,E-mail:xieyc@ouc.edu.cn;田晓洁(1984-),女,山东潍坊人,副教授,博士,研究方向:数字孪生、结构优化等,E-mail:tianxj20050101@163.com;通讯作者:刘贵杰(1968-),男,山东菏泽人,教授,博士,研究方向:数字孪生、机械设备状态监测与故障诊断等,E-mail:liuguijie@ouc.edu.cn。
