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作 者:刘增光[1,2] 张赫 岳大灵[1,2] 魏列江[1,2] 周焱 孙继苏 LIU Zengguang;ZHANG He;YUE Daling;WEI Liejiang;ZHOU Yan;SUN Jisu(College of Energy and Power Engineering,Lanzhou University of Technology,Lanzhou Gansu 730050,China;Key Laboratory of Advanced Pumps,Valves and Fluid Control System of the Ministry of Education,Lanzhou University of Technology,Lanzhou Gansu 730050,China)
机构地区:[1]兰州理工大学能源与动力工程学院,甘肃兰州730050 [2]兰州理工大学特种泵阀及流控系统教育部重点实验室,甘肃兰州730050
出 处:《机床与液压》2025年第6期118-124,共7页Machine Tool & Hydraulics
基 金:甘肃省教育厅:高校科研创新平台重大培育项目(2024CXPT-09)。
摘 要:阀控缸系统数字孪生建模中存在部分模型参数难以通过理论计算获得,以及由于各参数间相互影响导致参数辨识准确度不高的问题。针对此问题,提出一种基于参数分级辨识的阀控缸数字孪生建模方法,实现对阀控缸系统的状态映射和数字孪生。根据所提建模方法,基于阀控缸系统的工作原理,建立了阀控缸系统的数学模型和MATLAB/Simscape环境下的物理仿真模型;利用采集的测试数据,通过遗传算法对阀控缸数学模型中比例换向阀和液压缸的关键元件级参数进行辨识,再利用MATLAB软件的Paramenter Estimation工具对物理仿真模型中重要的系统级参数进行校正;最后,搭建阀控缸实验平台对所建数字孪生模型的准确度进行验证。结果显示:在7.5 V与9.5 V阶跃控制信号作用下,基于参数分级辨识的数字孪生模型的活塞位移仿真值与实验值的拟合度分别为95.76%和98.07%,验证了所辨识模型参数的准确性和所建数字孪生模型的正确性。In the digital twin modeling of valve-controlled cylinder system,some model parameters are difficult to obtain through theoretical calculation,and the accuracy of parameter identification is low due to the interaction of parameters.In order to solve the problem,a digital twin modeling method for valve-controlled cylinder was proposed based on parameter hierarchical identification to realize the state mapping and digital twin of valve-controlled cylinder system.According to the proposed modeling method,based on the working principle of valve-controlled cylinder system,the mathematical model of valve-controlled cylinder system and the MATLAB/Simscape physical simulation model were established.Using the test data,the component-level parameters of proportional reversing valve and hydraulic cylinder in the mathematical model of valve-controlled cylinder were identified by genetic algorithm,and then the system-level parameters in the physical simulation model were corrected by Paramenter Estimation of MATLAB.Finally,an experimental platform of valve-controlled cylinder was built to verify the accuracy of the digital twin model.The results show that under the 7.5 V and 9.5 V step control signals,the fitting degree of the simulated value of the piston displacement of digital twin model based on parameter hierarchical identification and experimental test value are 95.76%and 98.07%respectively.The accuracy of model parameters and the correctness of the built digital twin model are verified.
分 类 号:TH137[机械工程—机械制造及自动化]
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