基于观测器的转子系统不对中早期故障  

Early Misalignment Faults of Rotor System Based on Observer

作　　者：石怀涛[1] 袁振明 佟圣皓 SHI Huai-tao;YUAN Zhen-ming;TONG Sheng-hao(College of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China)

机构地区：[1]沈阳建筑大学机械工程学院,沈阳110168

出　　处：《科学技术与工程》2022年第7期2747-2753,共7页Science Technology and Engineering

基　　金：国家自然科学基金(52075348,51905357,52005352,51805337);辽宁省自然科学基金(2019-ZD-0654)。

摘　　要：在旋转机械故障中,转子系统不对中故障十分常见。针对传统数据周期采样会出现通讯浪费的问题和系统发生故障时会带来严重损失的情况,研究数据量化和故障的早期判断具有现实意义。采用Luenberger区间观测器的故障诊断方法,通过引入L_(1)/H_(∞)性能参数提升观测器残差的故障敏感度和鲁棒性,并且建立新式混合量化器,分析数据量化前后数据变化和量化对故障诊断影响。实验结果表明,故障敏感度的提高可以更早的判断故障是否发生,数据经过量化后减轻了通讯压力并且不影响故障判断,证明本文方法的有效性。The misalignment faults of rotor system are common in rotating machinery failures.In view of the communication waste caused by traditional data periodic sampling and the serious loss caused by system failure,it is of practical significance to study data quantification and early diagnosis of fault.The fault diagnosis method of Luenberger interval observer was adopted,and the L_(1)/H_(∞) performance parameters were introduced to improve the fault sensitivity and robustness of the residual error of the observer,and a new hybrid quantizer was established to analyze the influence of data change and quantization before and after data quantization on fault diagnosis.The experimental results show that the improvement of the fault sensitivity can judge whether the fault occurs earlier,and the communication pressure is reduced by quantified data and does not affect the fault judgment,which proves the effectiveness of this method.

关 键 词：故障诊断 区间观测器 混合量化器 数据量化 早期故障 

分 类 号：TP11[自动化与计算机技术—控制理论与控制工程]