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SMES Based Reconfigured Converter Architecture for DFIG to Enhance FRT and Grid Forming Capability 基于 SMES 的 DFIG 重构变流器架构可增强故障穿越和电网形成能力
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-18 DOI: 10.1109/TASC.2024.3463257
Donghui Song;Zixuan Zheng;Jie Ren;Changsong Li;Qi Xie
Grid forming control (GFM) based wind farms can support the safe and stable operation of power systems dominated by renewable energy. However, GFM based Doubly Fed Induction Generators (DFIGs) have difficulties in riding through serious voltage faults. And their grid forming ability is restricted by the power reserve and capacity of the converter. This paper proposes a reconfigured converter architecture for DFIG with SMES integrated into its DC bus. During normal operation, DFIG adopts the GFM strategy for primary frequency regulation. If the frequency modulation capacity of DFIG is inadequate, SMES outputs active power through an energy storage side converter (ESC) to keep the frequency within the specified safety range. When voltage faults occur, SMES outputs dynamic reactive current to support voltage recovery through ESC. The simulation results show that the proposed architecture and strategy can effectively enhance the GFM and voltage ride-through capability of DFIG.
基于电网成形控制(GFM)的风力发电场可支持以可再生能源为主的电力系统的安全稳定运行。然而,基于 GFM 的双馈感应发电机(DFIG)在穿越严重电压故障时存在困难。而且它们的电网形成能力受到变流器功率储备和容量的限制。本文提出了一种用于 DFIG 的重构变流器架构,其直流母线中集成了 SMES。正常运行时,DFIG 采用 GFM 策略进行一次频率调节。如果 DFIG 的频率调节能力不足,SMES 会通过储能侧变流器(ESC)输出有功功率,将频率保持在指定的安全范围内。当电压故障发生时,SMES 通过 ESC 输出动态无功电流以支持电压恢复。仿真结果表明,所提出的架构和策略可有效增强 DFIG 的 GFM 和电压穿越能力。
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引用次数: 0
Advanced Voltage Balancing Discontinuous PWM Technique for Solar PV Fed Grid-Tied NPC Inverters 用于太阳能光伏并网 NPC 逆变器的先进电压平衡非连续 PWM 技术
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-18 DOI: 10.1109/TASC.2024.3463514
Shahriar Hossain;Shuvra Prokash Biswas;Sudipto Mondal;Joysree Nath;Md. Rabiul Islam;Rakibuzzaman Shah
Multilevel inverters (MLIs) have significantly improved the overall performance, dependability and efficiency of the renewable energy system. Moreover, these can be easily integrated with the superconducting magnetic energy storage (SMES) systems. Maintaining the power qualities of these MLIs is always marked as a major research concern which can be heavily impacted by the pulse width modulation (PWM) strategies. An improved voltage balancing discontinuous PWM (DPWM) scheme is suggested in this work for the single-phase grid-tied 5-level neutral point clamped (NPC) inverter, which can significantly mitigate the fluctuation of the dc-link capacitor voltages as well as the switching losses of the power IGBTs. The reduction in switching losses will give lower thermal stress to the power devices. The proposed DPWM scheme is compared with other existing DPWM schemes for proving its effectiveness. The simulation of the entire system is performed by using MATLAB Simulink and PLECS simulation platform. A lower scale prototype is also constructed in the laboratory.
多电平逆变器(MLI)大大提高了可再生能源系统的整体性能、可靠性和效率。此外,多电平逆变器还能与超导磁储能(SMES)系统轻松集成。保持这些超导磁能储存器的电能质量一直是研究人员关注的主要问题,而脉宽调制(PWM)策略会对其产生严重影响。本研究为单相并网五级中性点箝位(NPC)逆变器提出了一种改进的电压平衡非连续 PWM(DPWM)方案,可显著缓解直流链路电容器电压的波动以及功率 IGBT 的开关损耗。开关损耗的减少将降低功率器件的热应力。为证明其有效性,将提议的 DPWM 方案与其他现有的 DPWM 方案进行了比较。使用 MATLAB Simulink 和 PLECS 仿真平台对整个系统进行了仿真。此外,还在实验室中构建了一个较小规模的原型。
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引用次数: 0
Investigation of SMES-Battery Hybrid Energy Storage System for Robustness Enhancement of Solid-State Transformer 用于增强固态变压器稳健性的 SMES 电池混合储能系统研究
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-18 DOI: 10.1109/TASC.2024.3463258
Lei Chen;Xuefeng Qiao;Man Yang;Jiahui Zhu;Shencong Zheng;Jingguang Tang;Hongkun Chen
This paper studies a hybrid energy storage system (HESS) incorporating battery and superconducting magnetic energy storage (SMES) for the robustness increase of a solid-state transformer (SST), which conducts the voltage conversion and power exchange between different power networks. Firstly, the topological structure and control mode of the SST are stated. Then, to address the SST's voltage stability issue caused by power disturbances, a fuzzy control scheme is presented to adjust the power response of the HESS. Based on the differences in power time scale and charge/discharge behaviors, the proper power allocation law is obtained for the SMES and the battery. In addition, a schematic design of a 10 H/200 A SMES magnet is implemented. The parameters of the HTS magnet, encompassing critical current level, tape length, and magnetic field strength, are refined. Using the MATLAB platform, the performance validation of the SMES-battery in a 10 kV/ 1 kV SST is done. The simulation results affirm the credibility of the SMES-battery in maintaining the power balance and boosting the bus voltage stability of the SST under varying degrees of disturbance. The voltage fluctuations in the DC bus are effectively limited, and the DC voltage promptly returns to a steady state, while the state of charge (SoC) of the SMES-battery is within favorable levels.
本文研究了一种包含电池和超导磁能存储(SMES)的混合储能系统(HESS),以提高固态变压器(SST)的稳健性,该变压器在不同电网之间进行电压转换和功率交换。首先,阐述了 SST 的拓扑结构和控制模式。然后,针对 SST 因电力扰动引起的电压稳定性问题,提出了一种模糊控制方案来调整 HESS 的功率响应。根据功率时间尺度和充放电行为的差异,得出了 SMES 和电池的适当功率分配定律。此外,还实现了 10 H/200 A SMES 磁体的原理图设计。细化了 HTS 磁体的参数,包括临界电流水平、磁带长度和磁场强度。利用 MATLAB 平台,在 10 kV/ 1 kV SST 中对 SMES 电池进行了性能验证。仿真结果表明,在不同程度的干扰下,SMES 电池能够维持 SST 的功率平衡并提高母线电压稳定性。直流母线电压波动得到有效限制,直流电压迅速恢复到稳定状态,而 SMES 电池的电荷状态(SoC)处于有利水平。
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引用次数: 0
A Multi-Module HTS Inductive Pulse Power Supply With Wide Current Pulse Output 宽电流脉冲输出的多模块 HTS 感应脉冲电源
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-18 DOI: 10.1109/TASC.2024.3463508
Haitao Li;Changyong Hu;Tianli Dai;Zhenmei Li;Yuanchao Hu;Peng Zhang
High-temperature superconducting (HTS) inductors have the advantages of low loss, low charging power, and long-term energy storage, making them very suitable for high-power inductive pulse power supplies (IPPS) for continuous electromagnetic launch (EML). However, driving the rail type EML requires high amplitude and a certain pulse width of the current pulse. The current inductive pulse power supply modes are difficult to meet this requirement. For this issue, this paper proposes a new multi-module IPPS circuit based on high-temperature superconducting pulse power transformers (HTSPPT). The proposed pulse power supply consists of three groups of HTSPPTs, each group consisting of 12 HTSPPTs forming a circular structure. By delaying parallel discharge of three sets of HTSPPT modules, high amplitude and wide pulse width current pulses can be generated. The feasibility of this power supply mode was preliminarily verified through simulation in the paper.
高温超导(HTS)电感器具有低损耗、低充电功率和长期储能等优点,非常适合用于连续电磁发射(EML)的大功率感应脉冲电源(IPPS)。然而,驱动轨道式电磁发射机需要高振幅和一定脉宽的电流脉冲。目前的电感脉冲电源模式很难满足这一要求。针对这一问题,本文提出了一种基于高温超导脉冲电源变压器(HTSPPT)的新型多模块 IPPS 电路。所提出的脉冲电源由三组 HTSPPT 组成,每组由 12 个 HTSPPT 构成一个圆形结构。通过延迟三组 HTSPPT 模块的并联放电,可以产生高振幅、宽脉宽的电流脉冲。本文通过仿真初步验证了这种供电模式的可行性。
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引用次数: 0
Comprehensive Modeling and Analysis of Stator Turn-to-Turn Short-Circuit Faults in a DFIG 双馈变流器定子匝间短路故障的综合建模与分析
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-18 DOI: 10.1109/TASC.2024.3463255
Chenguang Yan;Weixiang Wang;Qinzhi Liu;Zhangheng Liu;Jin Shu;Jikai Zhao;Baohui Zhang
With the gradual increase in high capacity doubly fed induction generators (DFIGs) in recent years, turn-to-turn short-circuit (TTSC) faults have become a greater threat. Notably, owing to the absence of an effective fault model, the specific TTSC fault behaviors of DFIGs remain to be clarified. This study proposes a comprehensive field–circuit coupling model of stator TTSC faults inside a DFIG, which captures a two-way interaction between the circuit and field domains. Meanwhile, the control strategy for DFIG back-to-back converters is also considered in this computational model. Moreover, the nonlinear resistance of the fault arc is simultaneously calculated by using a black box model in the circuit domain. A 1.5 MW DFIG with its control system was modeled and simulated to suffer a series of TTSC faults. Fault features, including the distributions of magnetic flux density, short-circuit currents, and terminal behaviors, were revealed, and the influencing factors regarding the fault types, severities and locations were discussed. The proposed comprehensive model and the derived characteristic signatures provide insights into the development of sensitive and reliable relay protection schemes for TTSC faults in DFIGs and are expected to promote subsequent research on fault detection and diagnosis in electric machinery controlled by power electronics.
近年来,随着大容量双馈异步发电机(DFIG)的逐步增加,匝间短路(TTSC)故障已成为一个更大的威胁。值得注意的是,由于缺乏有效的故障模型,DFIG 的具体 TTSC 故障行为仍有待明确。本研究提出了一种全面的 DFIG 内部定子 TTSC 故障场-电路耦合模型,该模型捕捉了电路域和场域之间的双向交互。同时,该计算模型还考虑了 DFIG 背靠背变流器的控制策略。此外,故障电弧的非线性电阻也同时通过电路域的黑盒模型进行计算。对 1.5 兆瓦 DFIG 及其控制系统进行了建模和仿真,使其遭受一系列 TTSC 故障。研究揭示了故障特征,包括磁通密度分布、短路电流和终端行为,并讨论了故障类型、严重程度和位置的影响因素。所提出的综合模型和推导出的特征信号为开发针对双馈变流器 TTSC 故障的灵敏可靠的继电保护方案提供了启示,并有望推动电力电子控制电机故障检测和诊断的后续研究。
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引用次数: 0
Prediction of Dissolved Gas Content in Transformer Oil Using the Improved SVR Model 利用改进的 SVR 模型预测变压器油中的溶解气体含量
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-18 DOI: 10.1109/TASC.2024.3463256
Nana Wang;Wenyi Li;Jianqiu Li;Xiaolong Li;Xuan Gong
Dissolved gas analysis in oil is an effective method for early fault diagnosis of transformers. Predicting future concentrations of characteristic gases can aid maintenance personnel in assessing the operational trends of transformers, thereby ensuring stable performance. To address the challenge of predicting dissolved gas content caused by inherent nonlinearity and non-stationarity, this paper proposes an ensemble empirical mode decomposition-cuckoo search-support vector regression (EEMD-CS-SVR) combined prediction model, utilizing ensemble empirical mode decomposition and support vector regression optimized by the cuckoo search algorithm. Firstly, EEMD is used to decompose the original dissolved gas content time series into a set of stationary modal components. Subsequently, SVR, known for its strong predictive performance, is employed to predict each modal component separately. Finally, CS is applied for global search to optimize and select SVR parameters, with the predicted dissolved gas content results being overlaid and reconstructed. Simulation experiments on H2 content show the mean absolute percentage error of 1.81% and the root mean square error of 0.707 µL/L, significantly enhancing prediction accuracy. Further validation through modeling and predicting CO and CH4 confirms the model's high accuracy and suitability for forecasting dissolved gas content in transformer oil.
油中溶解气体分析是变压器早期故障诊断的有效方法。预测未来特征气体的浓度可以帮助维护人员评估变压器的运行趋势,从而确保性能稳定。为解决由固有非线性和非平稳性引起的溶解气体含量预测难题,本文提出了一种集合经验模式分解-布谷鸟搜索-支持向量回归(EEMD-CS-SVR)组合预测模型,利用集合经验模式分解和布谷鸟搜索算法优化的支持向量回归。首先,利用 EEMD 将原始溶解气体含量时间序列分解为一组静态模态成分。然后,采用以预测性能强而著称的 SVR 分别预测每个模态分量。最后,应用 CS 进行全局搜索,以优化和选择 SVR 参数,并对预测的溶解气体含量结果进行叠加和重构。对 H2 含量的模拟实验表明,平均绝对百分比误差为 1.81%,均方根误差为 0.707 µL/L,大大提高了预测精度。通过对 CO 和 CH4 的建模和预测进行进一步验证,证实了该模型的高准确性和对变压器油中溶解气体含量预测的适用性。
{"title":"Prediction of Dissolved Gas Content in Transformer Oil Using the Improved SVR Model","authors":"Nana Wang;Wenyi Li;Jianqiu Li;Xiaolong Li;Xuan Gong","doi":"10.1109/TASC.2024.3463256","DOIUrl":"10.1109/TASC.2024.3463256","url":null,"abstract":"Dissolved gas analysis in oil is an effective method for early fault diagnosis of transformers. Predicting future concentrations of characteristic gases can aid maintenance personnel in assessing the operational trends of transformers, thereby ensuring stable performance. To address the challenge of predicting dissolved gas content caused by inherent nonlinearity and non-stationarity, this paper proposes an ensemble empirical mode decomposition-cuckoo search-support vector regression (EEMD-CS-SVR) combined prediction model, utilizing ensemble empirical mode decomposition and support vector regression optimized by the cuckoo search algorithm. Firstly, EEMD is used to decompose the original dissolved gas content time series into a set of stationary modal components. Subsequently, SVR, known for its strong predictive performance, is employed to predict each modal component separately. Finally, CS is applied for global search to optimize and select SVR parameters, with the predicted dissolved gas content results being overlaid and reconstructed. Simulation experiments on H\u0000<sub>2</sub>\u0000 content show the mean absolute percentage error of 1.81% and the root mean square error of 0.707 µL/L, significantly enhancing prediction accuracy. Further validation through modeling and predicting CO and CH\u0000<sub>4</sub>\u0000 confirms the model's high accuracy and suitability for forecasting dissolved gas content in transformer oil.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-4"},"PeriodicalIF":1.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhanced Maximum Torque per Ampere Control With Predictable Core Loss for the Interior Permanent Magnet Synchronous Motor 增强型每安培最大转矩控制,可预测内部永磁同步电机的铁芯损耗
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-18 DOI: 10.1109/TASC.2024.3463513
Zhenjie Gong;Xin Ba;Chengning Zhang;Youguang Guo
Due to the availability of extended applications for the reluctance torque, increasing incorporation of interior permanent magnet synchronous motors (IPMSMs) has been observed in the electric drive system, and to save energy and improve operation efficiency, the maximum torque per ampere (MTPA) control has attracted a lot of academic attention. However, in the traditional MTPA, the optimization objective of tracking the minimum armature current only applies to the situation where the energy consumption in the winding resistance is imposed as the sole constraint. The energy consumption in the core material, i.e., core loss, will grow as motor load and frequency increase, and hence the efficiency optimization control of the IPMSM should also consider the core loss. Firstly, this article proposes a novel mathematical model of the IPMSM which enables the establishment of control algorithms with predictable core loss. Then, a novel MTPA is proposed which can simultaneously optimize the copper loss and core loss to maximize the utilization of phase currents and minimize the electromagnetic losses of the IPMSM. To verify the superiority of the proposed MTPA, the analytical results are compared with the conventional MTPA and Id = 0 control methods.
由于磁阻转矩的应用范围不断扩大,在电力驱动系统中越来越多地采用内部永磁同步电机(IPMSMs),为了节约能源和提高运行效率,每安培最大转矩(MTPA)控制引起了学术界的广泛关注。然而,在传统的 MTPA 中,跟踪最小电枢电流的优化目标仅适用于以绕组电阻能耗为唯一约束条件的情况。铁芯材料的能耗,即铁芯损耗,会随着电机负载和频率的增加而增加,因此 IPMSM 的效率优化控制也应考虑铁芯损耗。本文首先提出了 IPMSM 的新型数学模型,从而建立了可预测铁芯损耗的控制算法。然后,本文提出了一种新型 MTPA,可同时优化铜损和铁芯损,从而最大限度地利用 IPMSM 的相电流并将其电磁损耗降至最低。为了验证所提 MTPA 的优越性,将分析结果与传统 MTPA 和 Id = 0 控制方法进行了比较。
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引用次数: 0
Numerical and Experimental Investigations on Transformer Winding Damages Under Multiple Short-Circuit Faults 多重短路故障下变压器绕组损坏的数值和实验研究
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-18 DOI: 10.1109/TASC.2024.3463515
Chenguang Yan;Che Xu;Hao Liu;Shiqi Kang;Baohui Zhang
Damages of transformer windings caused by short-circuit (SC) faults have long been an issue of concern. In this paper, a numerical method on the basis of electromagnetic–mechanical (E–M) coupling analysis is presented. Considering the nonlinear stress-strain relations of copper conductors and insulation spacers, winding mechanical behaviors are simulated under multiple SC faults by implementing the finite element method (FEM) in ANSYS. Furthermore, an actual full-scale 110 kV transformer is subjected to actual SC faults. Due to initial deformations in the winding, significant distortion occurred in the B-phase winding after five SC fault tests. Numerically simulated results and on-site experimental evidences indicate that once the winding undergoes slight deformation, the impact of SC currents will create a significant imbalance in stress distribution, and the increased stress in the fault areas exacerbates the deformation of the winding under multiple SC faults. These intensified effects could ultimately lead to damage or collapse of the winding during multiple SC fault events.
长期以来,短路(SC)故障对变压器绕组造成的损害一直是人们关注的问题。本文提出了一种基于电磁-机械(E-M)耦合分析的数值方法。考虑到铜导体和绝缘垫片的非线性应力-应变关系,通过在 ANSYS 中实施有限元法(FEM),模拟了绕组在多重 SC 故障下的机械行为。此外,还对一台实际的全尺寸 110 kV 变压器进行了实际 SC 故障试验。由于绕组的初始变形,B 相绕组在五次 SC 故障测试后发生了显著变形。数值模拟结果和现场实验证据表明,一旦绕组发生轻微变形,SC 电流的影响将导致应力分布严重失衡,故障区域的应力增加会加剧绕组在多次 SC 故障下的变形。这些加剧的影响最终可能导致绕组在多次 SC 故障事件中损坏或崩溃。
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引用次数: 0
Design of an Axial-Field Flux-Modulated Permanent Magnet Machine for Electric Vehicles 设计用于电动汽车的轴向磁场磁通调制永磁机
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-18 DOI: 10.1109/TASC.2024.3463259
Shuai Wang;Mingyao Lin
This article proposes an axial-field permanent magnet (AFPM) machine topology, in which two stators with splitting teeth and a rotor with N-iron PM arrangement are included. Specifically designed for direct-drive electric vehicle (EV) applications, this machine boasts a compact structure and high torque density. This paper comprehensively outlines the topology and operation principles governing the AFFMPM machine, with a focused exploration of its evolution process from the axial-field magnetic gear. Utilizing the three-dimensional finite element method (3D FEM), the proposed AFPM machine's electromagnetic characteristics are demonstrated. The results reveal a remarkable enhancement compared to the baseline AFPM model, achieving a 108% increase in torque and a 166% improvement in torque/PM volume. The AFPM prototype is constructed and experimented to confirm the analysis.
本文提出了一种轴向磁场永磁(AFPM)机器拓扑结构,其中包括两个带分齿的定子和一个N-铁永磁排列的转子。该机器专为直驱电动汽车(EV)应用而设计,结构紧凑,扭矩密度高。本文全面概述了 AFFMPM 机器的拓扑结构和工作原理,重点探讨了其从轴向磁场齿轮的演变过程。利用三维有限元法(3D FEM),演示了所提出的 AFPM 机器的电磁特性。结果显示,与基线 AFPM 模型相比,其性能有了显著提高,扭矩提高了 108%,扭矩/PM 体积提高了 166%。为了证实分析结果,我们建造了 AFPM 原型机并进行了实验。
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引用次数: 0
FPGA-Stabilized Magnetic Levitation of the APEX-LD High-Temperature Superconducting Coil APEX-LD 高温超导线圈的 FPGA 稳定磁悬浮
IF 1.7 3区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-17 DOI: 10.1109/TASC.2024.3462796
A. Card;A. Deller;M. R. Stoneking;J. von der Linden;E. V. Stenson
In this article, we demonstrate in-vacuum magnetic levitation of a compact high-temperature superconducting coil, which has been designed for magnetic confinement of an electron–positron pair plasma. The closed no-insulation rare-earth barium copper oxide coil was energized with a persistent current to generate a dipole magnetic field and then magnetically levitated by a water-cooled copper lifting coil located above. The vertical position of the floating coil was measured by an array of laser position sensors. Stable levitation was achieved by continuous adjustment of the lifting coil current using a 1-kHz proportional–integral–derivative feedback loop implemented by a field-programmable gate array. The feedback parameters were optimized with a 1-D simulation of the levitation system. A levitation time in excess of 3 h was achieved with a mean vertical displacement from the set point position of $-text{3 } mu rm {text{m}}$ and a standard deviation of $sigma _{z} = text{18 }mu rm {text{m}}$.
在这篇文章中,我们展示了一个紧凑型高温超导线圈的真空磁悬浮,该线圈是为电子-正电子对等离子体的磁约束而设计的。封闭式无绝缘稀土氧化钡铜线圈通过持续电流通电以产生偶极磁场,然后由位于上方的水冷铜提升线圈进行磁悬浮。浮动线圈的垂直位置由激光位置传感器阵列测量。通过使用一个由现场可编程门阵列实现的 1 kHz 比例-积分-派生反馈环路对提升线圈电流进行连续调节,实现了稳定悬浮。通过对悬浮系统进行一维模拟,对反馈参数进行了优化。悬浮时间超过了 3 小时,与设定点位置的平均垂直位移为 $-text{3 }。mu rm {text{m}}$ ,标准偏差为 $sigma _{z} = text{18 }mu rm {text{m}}$ 。
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引用次数: 0
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IEEE Transactions on Applied Superconductivity
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