Real-Time Instability Detection of Centrifugal Compressors Based on Motor Speed Measurements

作     者：CHEN Haoxiang ZHUGE Weilin QIAN Yuping ZHANG Yangjun LIU Hongdan 

作者机构：State Key Laboratory of Automotive Safety and EnergyTsinghua UniversityBeijing 100084China Chongqing Jiangjin Shipbuilding Industry CorporationChina Shipbuilding Industry CorporationChongqing 402263China 

出 版 物：《Journal of Thermal Science》 (热科学学报（英文版）)

年 卷 期：2023年第32卷第1期

页      面：310-329页

核心收录：

学科分类：080704[工学-流体机械及工程] 08[工学] 0807[工学-动力工程及工程热物理] 0701[理学-数学] 

基　　金：supported by the National Key Research and Development Program of China(No.2018YFB1501004) 

主　　题：centrifugal compressor instability detection real-time rotating speed STFT 

摘      要：Flow instability in the centrifugal compressor should be detected and avoided for stable and safe *** to the popularity of electric centrifugal compressors,instability detection could be achieved by measuring motor signals instead of traditional aerodynamic *** this paper,the feasibility of instability detection by motor signals(*** speed and phase current)was studied *** physical structure and control method of the electric centrifugal compressor were discussed to reveal the potential of instability detection by motor *** pressure signals and motor signals measured during unsteady experiments were analyzed in the time domain and frequency *** of these signals were then compared under different operating conditions to indicate the feasibility of instability detection by motor ***,the ability of Short-Time Fourier Transform(STFT)of rotating speed signals in real-time instability detection was *** showed that the rotating speed signal is a good alternate for instability detection in spite of signal distortion,while the phase current signal can only detect surge due to the low resolution of the *** on the variations of the amplitude and frequency of rotating speed signals,the real-time instability can be captured accurately by STFT with a window size of 0.5 ***,the interference caused by the controller can be removed by STFT.