{"title":"基于改进多重SOGI-FLL的AMB转子系统谐波电流抑制","authors":"Fayuan Xie;Jiming Zou;Shaobin Li;Lijun Xiao;Yongxiang Xu;Pengcheng Zhu","doi":"10.1109/JSEN.2025.3597315","DOIUrl":null,"url":null,"abstract":"In active magnetic bearing (AMB) systems, harmonic currents induced by mass unbalance and sensor runout cause the system to generate harmonic vibrations. Conventional harmonic current suppression methods depend highly on accurate rotational speed information, which limits their application in scenarios without rotational speed sensors. To address this problem, this article first analyses the main sources of harmonic vibration and then proposes an improved multiple second-order generalized integral frequency-locked loop (IMSOGI-FLL) algorithm. The algorithm achieves adaptive estimation of the rotational frequency by using the frequency of the fundamental component in the disturbance signal and effectively suppresses the harmonic currents generated by the mass unbalance and sensor beating. In addition, in order to ensure the stability of the system in the operating range, this article designs a simple phase compensator without parameter switching, which can improve the stability range of the system in the low-frequency band. The experimental results show that the proposed algorithm can not only accurately estimate the rotational frequency but also significantly eliminate the harmonic currents caused by mass unbalance and sensor runout, which provides an effective solution for harmonic current suppression in the case of no speed sensor.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"34529-34536"},"PeriodicalIF":4.3000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Harmonic Current Suppression of AMB Rotor System Based on Improved Multiple SOGI-FLL\",\"authors\":\"Fayuan Xie;Jiming Zou;Shaobin Li;Lijun Xiao;Yongxiang Xu;Pengcheng Zhu\",\"doi\":\"10.1109/JSEN.2025.3597315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In active magnetic bearing (AMB) systems, harmonic currents induced by mass unbalance and sensor runout cause the system to generate harmonic vibrations. Conventional harmonic current suppression methods depend highly on accurate rotational speed information, which limits their application in scenarios without rotational speed sensors. To address this problem, this article first analyses the main sources of harmonic vibration and then proposes an improved multiple second-order generalized integral frequency-locked loop (IMSOGI-FLL) algorithm. The algorithm achieves adaptive estimation of the rotational frequency by using the frequency of the fundamental component in the disturbance signal and effectively suppresses the harmonic currents generated by the mass unbalance and sensor beating. In addition, in order to ensure the stability of the system in the operating range, this article designs a simple phase compensator without parameter switching, which can improve the stability range of the system in the low-frequency band. The experimental results show that the proposed algorithm can not only accurately estimate the rotational frequency but also significantly eliminate the harmonic currents caused by mass unbalance and sensor runout, which provides an effective solution for harmonic current suppression in the case of no speed sensor.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 18\",\"pages\":\"34529-34536\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11126935/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/11126935/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Harmonic Current Suppression of AMB Rotor System Based on Improved Multiple SOGI-FLL
In active magnetic bearing (AMB) systems, harmonic currents induced by mass unbalance and sensor runout cause the system to generate harmonic vibrations. Conventional harmonic current suppression methods depend highly on accurate rotational speed information, which limits their application in scenarios without rotational speed sensors. To address this problem, this article first analyses the main sources of harmonic vibration and then proposes an improved multiple second-order generalized integral frequency-locked loop (IMSOGI-FLL) algorithm. The algorithm achieves adaptive estimation of the rotational frequency by using the frequency of the fundamental component in the disturbance signal and effectively suppresses the harmonic currents generated by the mass unbalance and sensor beating. In addition, in order to ensure the stability of the system in the operating range, this article designs a simple phase compensator without parameter switching, which can improve the stability range of the system in the low-frequency band. The experimental results show that the proposed algorithm can not only accurately estimate the rotational frequency but also significantly eliminate the harmonic currents caused by mass unbalance and sensor runout, which provides an effective solution for harmonic current suppression in the case of no speed sensor.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice