Influence of Eccentricity on the Position Error of Variable Reluctance Resolvers Based on the Winding Function Method

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Wenzhe Deng;Cunjie Zhao;Gang Xiao;Zhe Qian;Guoli Li;Qixu Chen;Qunjing Wang
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引用次数: 0

Abstract

The influence of static eccentricity (SE), dynamic eccentricity (DE), and mixed eccentricity (ME) on the position error of variable reluctance resolvers (VR-resolvers) is investigated in this study. First, an analytical model of VR-resolvers is established by the improved winding function (WF) method. Using the simplified air-gap function (AGF), the model is used to analyze the induced voltage of the resolver under fault conditions and the position error after decoding by the phase-locked loop (PLL) in the resolver-to-digital converter (RDC). The results indicate that all three types of eccentricity cause varying undesirable harmonics in the output voltage. SE and ME cause extra amplitude imbalance and dc offset. Besides, eccentricity can also generate current harmonics in the excitation winding, which can serve as a basis for eccentricity diagnosis. The angle position error after decoding by the PLL under different eccentricity conditions also differs. Finally, the theoretical analysis is validated by the simulation and experimental results. This study provides a reference for eccentricity diagnosis of VR-resolvers and benefits the researchers and designers in terms of rotor position error prediction and suppression of VR-resolvers.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
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
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