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基于符号键合图的电静压伺服机构多故障诊断研究

Multi-fault diagnosis of electro hydrostatic actuator based on signed bond graph
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摘要 针对电静压伺服机构(EHA)服役时存在多种故障且难以诊断的问题,提出了一种考虑参数贡献度的符号键合图(SBG)故障诊断方法。首先,根据EHA工作原理与键合图理论构建了键合图模型,设定了系统参数数值及分布标准差,再利用键合图模型推导了其解析冗余式(ARR),并构建了故障特征矩阵,将键合图模型转换为符号键合图模型,根据符号键合图元件之间的因果关系和一致性路径,推理出了EHA可能故障集;然后,定义并计算了EHA系统参数贡献度,筛选出了高贡献度系统参数,对可能故障集中难以引起解析冗余式残差数据变化的低贡献度系统参数进行了剔除,缩小了可能的故障参数范围;最后,利用键合图仿真软件20-sim,通过改变EHA中Q轴电阻与电机磁通链的数值,进行了多故障仿真实验,对所提多故障诊断方法进行了验证。研究结果表明:当EHA发生多故障时,将剔除低贡献度系统参数的可能故障集同传感器数据、解析冗余式残差数据进行结合,能准确诊断出预置的两个高贡献度故障参数,相比于常规SBG故障诊断的可能故障集,能更准确地锁定EHA系统故障参数。 Aiming at the problem of multiple fault diagnosis of electro hydrostatic actuator(EHA),a signed bond graph(SBG)fault diagnosis method considering the contributions of parameter was proposed.Firstly,based on the EHA working principle and bond graph theory,a bond graph model was constructed.System parameter values and distribution standard deviations were set,and then the bond graph model was used to derive its analytical redundancy relations(ARR)and construct the fault signature matrix.The bond graph model was transformed into a signed bond graph model,and possible fault sets for the EHA were inferred based on the causal relationships and consistent paths among the signed bond graph elements.Then,the contribution of EHA system parameters was defined and calculated.High-contribution system parameters were selected,low-contribution system parameters that were difficult to cause changes in analytical redundant residual data in possible fault sets were removed,and the range of possible fault parameters was narrowed down.Finally,the bond graph simulation software 20-sim was employed,and multiple fault simulation experiments were conducted by changing the values of the Q-axis resistance and motor magnetic flux chain in EHA.The proposed multi-fault diagnosis method was validated.The research results show that when multiple faults occur in EHA,the combination of the possible fault set that eliminates the low contribution system parameters with sensor data and analytical redundancy residual data can accurately diagnose the two preset high contribution fault parameters.Comparing with the possible fault set of conventional SBG fault diagnosis,the EHA system fault parameters can be locked more accurately.
作者 李世杰 徐淼 陈换过 姚智敏 卢夏沁 LI Shijie;XU Miao;CHEN Huanguo;YAO Zhimin;LU Xiaqin(Zhejiang Province s Key Laboratory of Reliability Technology for Mechanical and Electrical Product,Zhejiang Sci-Tech University,Hangzhou 310018,China;Shanghai Hunter Hydraulic Control Technology Co.,Ltd.,Shanghai 201612,China)
出处 《机电工程》 CAS 北大核心 2024年第8期1342-1352,共11页 Journal of Mechanical & Electrical Engineering
基金 国家自然科学基金资助项目(51975535)。
关键词 机电系统可靠性 电静压伺服机构 符号键合图 解析冗余式 可能故障集 多故障诊断 参数贡献度 electromechanical system reliability electro hydrostatic actuator(EHA) signed bond graph(SBG) analytical redundancy relations(ARR) possible fault set multiple fault diagnosis parameter contribution
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