射流管阀控液压马达参数辨识建模与故障诊断  

Parameter Identification Modeling and Fault Diagnosis of Jet-pipe Valve-controlled Hydraulic Motor

作　　者：于黎明[1] 周洁华 YU Li-ming;ZHOU Jie-hua(School of Automation Science and Electrical Engineering,Beijing University,Beijing 100191)

机构地区：[1]北京航空航天大学自动化科学与电气工程学院,北京100191

出　　处：《液压与气动》2023年第7期131-138,共8页Chinese Hydraulics & Pneumatics

摘　　要：为实现射流管阀控液压马达故障诊断的精准预判与分析,需要准确建立数学模型以提升仿真研究的有效性。根据射流管阀控液压伺服作动器(Hydraulic Servo Actuator, HSA)关键部件即力矩马达、射流放大器和阀控作动元件的工作原理,建立射流管阀控液压马达数学模型。基于AMESim软件构建仿真模块,利用阶跃特性实验数据进行仿真模型参数辨识。采用反向传播神经网络实现基于此仿真模型的射流管阀控液压马达故障诊断,包括对实验数据预处理获取有效样本的故障特征,选取关键故障特征并用BP神经网络进行训练以实现故障诊断。实验和仿真结果显示,射流管阀控液压马达的仿真模型与实际相契合,并且基于仿真模型数据能够完成精度为99.512%的故障诊断,提高了实际作动器的可靠性。In order to realize accurate prediction and analysis of fault diagnosis of jet pipe valve controlled hydraulic motor,it is necessary to establish accurate mathematical model to improve the effectiveness of simulation research.According to the working principle of the key components of jet pipe valve controlled HSA,namely torque motor,jet amplifier and valve controlled actuating element,a mathematical model of jet pipe valve controlled hydraulic motor is established.The simulation module is built based on AMESim,and the parameters of the simulation model are identified by using the experimental data of step characteristics.The Back Propagation neural network is used to realize the fault diagnosis of jet pipe valve controlled hydraulic motor based on the simulation model.The fault features of valid samples are obtained by preprocessing the experimental data,and the key fault features are identified and trained by BP neural network to realize the fault diagnosis.Experimental and simulation results show that the simulation model of jet pipe valve-controlled hydraulic motor is consistent with the actual situation,and complete the fault diagnosis with the accuracy of 99.512%based on the simulation model data,which improves the reliability of the actual actuator.

关 键 词：射流管阀控液压马达 参数辨识 故障特征 反向传播神经网络 故障诊断 

分 类 号：TH137[机械工程—机械制造及自动化] V219[航空宇航科学与技术—航空宇航推进理论与工程]