Reduction of Cogging Torque and Electromagnetic Vibration Based on Different Combination of Pole Arc Coefficient for Interior Permanent Magnet Synchronous Machine

Cogging torque and electromagnetic vibration are two important factors for evaluating permanent magnet synchronous machine(PMSM)and are key issues that must be considered and resolved in the design and manufacture of high-performance PMSM for electric vehicles.A fast and accurate magnetic field calculation model for interior permanent magnet synchronous machine(IPMSM)is proposed in this article.Based on the traditional magnetic potential permeance method,the stator cogging effect and complex boundary conditions of the IPMSM can be fully considered in this model,so as to realize the rapid calculation of equivalent magnetomotive force(MMF),air gap permeance,and other key electromagnetic properties.In this article,a 6-pole 36-slot IPMSM is taken as an example to establish its equivalent solution model,thereby the cogging torque is accurately calculated.And the validity of this model is verified by a variety of different magnetic pole structures,pole slot combinations machines,and prototype experiments.In addition,the improvement measure of the machine with different combination of pole arc coefficient is also studied based on this model.Cogging torque and electromagnetic vibration can be effectively weakened.Combined with the finite element model and multi-physics coupling model,the electromagnetic characteristics and vibration performance of this machine are comprehensively compared and analyzed.The analysis results have well verified its effectiveness.It can be extended to other structures or types of PMSM and has very important practical value and research significance.

Performance Analysis and Comparison for Two Topologies of Flux-Switching Permanent Magnet Machine

Flux-switching permanent magnet(FSPM)machine is a kind of stator-typed permanent magnet machine,which is suitable for driving electric vehicles and hybrid electric vehicles because of their large power/torque density and high efficiency.The axial field flux-switching permanent magnet machine(AFFSPMM)and radial field flux-switching permanent magnet machine(RFFSPMM)with H-typed iron cores are reached and compared in this paper.On the condition of the same outer diameters and total volumes,the electromagnetic performances of the two machines are analyzed and compared by the three-dimensional finite element method,including the air gap flux density,inductance,back electromotive force(EMF),electromagnetic torque and loss.The finite element results show that the copper loss of AFFSPMM is higher than that of RFFSPMM at the rated load,however,the total loss of AFFSPMM is lower than that of the RFFSPMM.Meanwhile,AFFSPMM has greater torque than RFFSPMM in the constant power range.The related experiments are done to validate the finite element results,which are basically consistent with experiment results.

Novel Rotors with Low Eddy Current Loss for High Speed Permanent Magnet Machines

Due to the large rotor eddy current loss and low thermal conductivity of carbon fiber sleeve,the high temperature usually occurs in high speed permanent magnet machines(HSPMMs)at the rated operation condition,resulting in irreversible demagnetization of the permanent magnet(PM).To obtain low rotor temperature,two novel rotor structures with low rotor eddy current loss are proposed in this paper.With the output torque and air gap flux density unchanged,the performance of HSPMMs with the two proposed rotor structures are analyzed based on finite element algorithm(FEA),including eddy current loss and temperature.Finally,the appropriate parameters of the proposed rotor structures are selected,and the electromagnetic(EM)performance,rotor stress and temperature are compared with those of the conventional rotor structure.Index Terms-Eddy current loss,finite element algorithm(FEA),electromagnetic(EM)performance,high speed permanent magnet machines(HSPMMs).

Machine Learning Technique to Detect Radiations in the Brain

The brain of humans and other organisms is affected in various ways through the electromagneticfield(EMF)radiations generated by mobile phones and cell phone towers.Morphological variations in the brain are caused by the neurological changes due to the revelation of EMF.Cellular level analysis is used to measure and detect the effect of mobile radiations,but its utilization seems very expensive,and it is a tedious process,where its analysis requires the preparation of cell suspension.In this regard,this research article proposes optimal broadcast-ing learning to detect changes in brain morphology due to the revelation of EMF.Here,Drosophila melanogaster acts as a specimen under the revelation of EMF.Automatic segmentation is performed for the brain to attain the microscopic images from the prejudicial geometrical characteristics that are removed to detect the effect of revelation of EMF.The geometrical characteristics of the brain image of that is microscopic segmented are analyzed.Analysis results reveal the occur-rence of several prejudicial characteristics that can be processed by machine learn-ing techniques.The important prejudicial characteristics are given to four varieties of classifiers such as naïve Bayes,artificial neural network,support vector machine,and unsystematic forest for the classification of open or nonopen micro-scopic image of D.melanogaster brain.The results are attained through various experimental evaluations,and the said classifiers perform well by achieving 96.44%using the prejudicial characteristics chosen by the feature selection meth-od.The proposed system is an optimal approach that automatically identifies the effect of revelation of EMF with minimal time complexity,where the machine learning techniques produce an effective framework for image processing.

Fast Calculation of Electromagnetic Forces in IPMSMs Under PWM VSI Supply Based on Small-Signal Time-Harmonic Finite Element Method

This paper introduces a novel method for fast calculating the electromagnetic forces in interior permanent magnet synchronous machines(IPMSMs)under pulse width modulation(PWM)voltage source inverter(VSI)supply based on the small-signal time-harmonic finite element analysis(THFEA),which has been successfully utilized for fast calculating the PWMinduced losses in silicon steel sheets and permanent magnets.Based on the small-signal THFEA,the functional relationships between high-frequency harmonic voltages(HFHVs)and corresponding airgap flux densities are established,which are used for calculating the flux density spectra caused by each HFHV in the PWM voltage spectra.Then,the superposition principle is applied for calculating the flux density spectra caused by fundamental currents and all HFHVs,which are converted to the electromagnetic force spectra at last.The relative errors between the force density spectra calculated with the proposed method and those obtained from traditional time-stepping finite element analysis(TSFEA)using PWM voltages as input are within 3.1%,while the proposed method is 24 times faster than the traditional TSFEA.

Electromagnetic Performance Prediction for the Symmetrical Dual Three-phase Surface-mounted PMSM under Open-phase Faults Based on Accurate Subdomain Model

The paper presents an accurate analytical subdomain model for predicting the electromagnetic performance in the symmetrical dual three-phase surface-mounted permanent magnet synchronous machine(PMSM)under open-phase faulty conditions.The model derivations are extended from previous accurate subdomain models accounting for slotting effects.Compared with most conventional subdomain models for traditional three-phase machines with nonoverlapping winding arrangement,the subdomain model proposed in this paper applied for the 24-slot/4-pole dual three-phase machine with symmetrical overlapping winding arrangement.In order to investigate the postfault electromagnetic performance,the reconfigured phase currents and then current density distribution in stator slots under different open-circuit conditions are discussed.According to the developed model and postfault current density distribution,the steady-state electromagnetic performance,such as the electromagnetic torque and unbalanced magnetic force,under open-circuit faulty conditions are obtained.For validation purposes,finite element analysis(FEA)is employed to validate the analytical results.The result indicate that the postfault electromagnet performance can be accurately predicted by the proposed subdomain model,which is in good agreement with FEA results.

Investigation of an Intensifying-flux Variable Flux-leakage Interior Permanent Magnet Machine for Wide Speed Range

In this paper,a novel intensifying-flux variable flux-leakage interior permanent magnet(IFVF-IPM)machine is proposed,in which flux barriers were designed deliberately between the adjacent poles to obtain intensifying-flux effect and variable flux-leakage property.The rotor topology and design principles of the proposed machine are also introduced.Then,a multi-objective optimization method is adopted based on the sensitivity analysis,and some design variables of IFVF-IPM machine with strong sensitivity are selected to optimization progress by using the non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ).Moreover,the electromagnetic characteristics of conventional IPM machine,conventional IFVF-IPM machine(CIFVF-IPM)and the novel IFVF-IPM machine are compared based on the finite element analysis(FEA)method which includes flux linkage,inductances characteristic,torque-speed envelops and power characteristic,as well as evaluation of the risk of irreversible demagnetization.Finally,the experiment results show that the IFVF-IPM machine has a better performance in flux weakening capability for wide speed range and a lower risk of irreversible demagnetization,which indicates the validity and feasibility of the proposed machine.

Experimental investigation on using the piezoelectric and electromagnetic vibration absorbers in milling

The paper presents an active control system that counteracts the development of chatter vibration. The vibration amplitude depends on the dynamic properties of the machine tool, cutting tool and work-piece. In the paper we analyze the case when the loss of machining stability is caused by the work-piece. The proposed active control system employs electromagnet or piezoelectric actuator to suppress vibration during milling. The active control introduces damping into the system, thereby raising the critical depth of cut and reducing forced vibration amplitude. It enables stable cutting under a much wider range of cutting parameters that for the uncontrolled system. Cutting tests are performed on JAFO FYN-50 machine with mill DIN 845 B-25 K-N HSS to demonstrate an effectiveness of the proposed systems.

Characteristics of an Axial-flux Permanent Magnet Synchronous Machine with Contra-rotating Rotors under Unbalanced Load Condition from 3-D Finite Element Analysis

During recent years,the axial-flus PMSM with contra-rotating rotors has become a hot topic in academic research due to its high efficiency and simple structure.However,its back-EMF may be distorted under the condition of different angular positions.This paper investigates characteristics of the novel motor used for contra-propeller driving.Considering the torque ripple and current oscillation under unbalanced load condition,this paper analyzes the distorted back-EMF of the machine when its two rotors get different angular positions during rotating.The analysis results are validated by transient-magnetic 3-D FEA method,which the 3-D FEA software is used to model this motor and transient simulations are carried out to obtain its magnetic characteristic and main performances.A main focus is put on the back-EMF characteristic with different angular positions between the two rotors.Furthermore,the characteristic of torque production under unbalanced load is investigated.Finally,a prototype motor is fabricated to validate the analyses of this paper.

Optimal Pole Ratio of Spoke-type Permanent Magnet Vernier Machines for Direct-drive Applications

Due to magnetic gearing effects,spoke-type permanent magnet vernier machines(ST-PMVMs)have the merit of high torque density,where an extra torque amplification coefficient,i.e.,pole ratio(the pole-pair ratio of PMs to armature windings)is introduced.However,different from surface-mounted PMVM,the variation of torque against pole ratio in ST-PMVMs is non-linear,which is increased at first and then decreased.This article is devoted to identify the optimal pole ratio of ST-PMVMs by equivalent magnetic circuit model.It is found that except the Prth air-gap magnetomotive force(MMF)harmonic having the same pole-pair of PM,the Path air-gap MMF harmonic having the same pole-pair of armature winding is also induced due to the modulation of doubly salient air-gap structure.The Prth MMF harmonic produces positive torque,while Path MMF harmonic produces negative torque.With the increase of pole ratio,the proportion of Path MMF harmonic as well as negative torque is increased,which reduces the advantages of high pole ratio coefficient.Further,the influence of dimension parameters on the performance of ST-PMVMs under different pole ratio are investigated.Results show that ST-PMVMs with pole ratio 2.6 have high torque density,low cogging torque and high power factor simultaneously.Finally,a prototype is manufactured to validate the analysis.

Flexible healable electromagnetic-interference-shielding bioelastichydrogel nanocomposite for machine learning-assisted highlysensitive sensing bioelectrode

The prosperous evolution of conductive hydrogel-based skin sensors is attract-ing tremendous attention nowadays.Nevertheless,it remains a great challenge to simultaneously integrate excellent mechanical strength,desirable electrical conduc-tivity,admirable sensing performance,and brilliant healability in hydrogel-based skin sensors for high-performance diagnostic healthcare sensing and wearable human-machine interface,as well as robust photothermal performance for promptly intelligent photothermal therapy followed by the medical diagnosis and superior electromagnetic interference(EMI)shielding performance for personal protec-tion.Herein,aflexible healable MXene hydrogel-based skin sensor is prepared through a delicate combination of MXene(Ti_(3)C_(2)T_(x))nanosheets network with the polymeric network.The as-prepared skin sensor is featured with significantly enhanced mechanical,conducting,and sensing performances,along with robust self-healability,good biocompatibility,and reliable injectability,enabling ultrasensitive human motion monitoring and teeny electrophysiological signals sensing.As a fron-tier technology in artificial intelligence,machine learning can facilitate to efficiently and precisely identify the electromyography signals produced by various human motions(such as variablefinger gestures)with up to 99.5%accuracy,affirming the reliability of the machine learning-assisted gesture identification with great poten-tial in smart personalized healthcare and human-machine interaction.Moreover,the MXene hydrogel-based skin sensor displays prominent EMI shielding performance,demonstrating the great promise of effective personal protection.

智能化视角下造纸机传动系统变频调速控制研究

在当今造纸行业向智能化转型的背景下,造纸机作为纸张生产的核心设备,其传动系统的高效运行对整体生产效率和产品质量起着决定性作用。电气自动化与变频调速技术的深入应用,极大地推动了造纸机控制系统的技术进步,为实现造纸机械高效、稳定生产提供了坚实的技术基础。基于此,在探讨造纸机传动控制系统的构成与设计关键点,并针对常见的变频调速技术进行分析,特别是直接转矩控制(DTC)算法在优化传动系统中减少异步电机电磁转矩波动、降低能耗、提升效率方面的应用,旨在为造纸机传动系统的优化提供切实可行的解决方案。

磁场调制电机的由来、发展与挑战

得益于磁场调制效应,磁场调制电机具有高转矩密度优势,在风力发电、舰船推进、工业驱动等低速大转矩直驱领域具有广阔应用前景。该文首先介绍磁场调制电机的由来,并梳理该类电机基础理论和分析方法的发展与完善过程;进一步,对磁场调制电机进行分类并介绍其工作原理;同时,归纳磁场调制电机转矩密度、功率因数等关键电磁性能的提升方法。最后,总结磁场调制电机领域取得的主要研究成果,并讨论该类电机所面临的技术挑战和未来发展方向。

磁感定义与复磁路相量分析

该文以变压器为例,分别建立并联和串联两种形式的等效正弦交变复磁路模型,相应地给出两种磁感的不同定义和物理意义,并比较各自的优劣势。首先,以相量图的形式分析不同负载性质等效复磁路中各物理量的相位关系,并在磁感定义的基础上完善磁路与电路的类比关系;其次,推导任意负载下等效电路有功和无功功率与类比复磁路中等效电路中虚拟有功和无功功率的数值关系;然后,以同步发电机为例,利用基于磁感的等效复磁路分析交流电机中定转子磁场的相互作用,分别基于等效复磁路和有限元方法分析一个变压器算例,验证理论分析的正确性;最后,给出研究结论,并据此客观地分析基于磁感的复磁路的作用。

智慧矿山系统工程及关键技术研究与实践

针对智慧矿山复杂巨系统建设过程中存在的问题,提出了智慧矿山建设的总体技术架构,并分别从智慧矿山系统模型构建、地下空间重构与模型动态更新、机器视觉测量技术、瓦斯环境射频防爆测试方法、矿山安全闭环管控体系、智慧矿山标准体系等方面进行了详细阐述。将智慧矿山分为信息感知支撑层、边缘计算层、云数据中心、多型网络、矿山智能生产管控平台、矿山智能生产系统、智慧矿山运维管理系统,构建了基于多系统深度融合的智慧矿山技术架构。基于智慧矿山知识图谱及信息抽取技术,构建了以数据创新为驱动、通信网络为基础、数据算力为核心的智慧矿山系统模型。构建了以机器视觉感知信息为主、其他感知信息为辅的矿山井下三维视觉空间模型,提出了矿山井下场景三维视觉与空间重建框架,实现了矿山井下三维空间重构与动态更新。开发了基于机器视觉技术的井下设备位姿与煤岩界面识别算法,实现了对井下综采装备群及煤岩分界面的同时空测量。探讨了井下瓦斯环境下现行防爆标准对5G基站功率的限制及存在的不足,设计开发了射频电磁能防爆专用试验装置,为提升井下5G基站功率阈值提供了方法借鉴。提出了融合灾害信息全面感知、防控方案自主决策、防控装备协同控制的矿井灾害闭环管控系统技术架构,实现井下灾害的超前预测预警与协同防控。构建了智能化煤矿标准体系框架,剖析了我国煤矿与金属矿山智能化建设典型案例,提出了智慧矿山建设发展趋势及建议。

美军认知电子战关键技术发展方向分析

美军认知电子战相关概念发展迅速,也开展了较多的项目研究。为分析其关键技术发展现状并研判其未来发展趋势,从美高校、智库、军事科研机构、厂商4个角度,通过研究论文、报告等公开文献,对美军认知电子战关键技术发展情况,特别是其在机器学习、人工智能方面的探索进行了深入的分析,对美军认知电子战技术领域研究方向、潜在难题及对应的关键技术思路进行了较为全面的梳理,并从数据、模型、平台、应用等方面给出了启示。

基于田口法的星-三角FSPMM电磁性能优化研究

目的分数槽永磁电机(fractional slot permanent magnet machine,FSPMM)因其体积小、功率密度高、质量轻等优点在新能源发电和电动汽车等领域得到了越来越广泛的应用。为了进一步提高FSPMM的电磁性能,方法首先,基于两种不同电枢绕组结构的内置“V”字形的FSPMM,即10极12槽双层星(Y)形连接绕组和10极12槽四层星-三角(Y-Δ)连接绕组,建立两者的二维电机有限元分析模型;其次,综合分析FSPMM在不同绕组结构和不同转子参数下的空载性能、转矩性能、效率的变化规律,结果表明,采用四层Y-Δ接法的FSPMM电磁性能明显优于双层Y形接法的;最后,针对电机参数较多且耦合严重的特点,采用田口法,以转矩波动、齿槽转矩、效率、空载气隙磁密畸变率为优化目标,以永磁体厚度、转子轭部高、槽口宽度、气隙长度、相同磁极隔磁桥宽、相邻磁极隔磁桥宽为优化因子,进一步优化四层Y-Δ接法的FSPMM转子参数,通过分析优化目标的平均值和方差,得到最优的转子参数,并采用有限元法验证田口法在内置式FSPMM优化设计中的有效性。结果研究结果表明,优化后转矩波动降低了20.24%,电磁转矩增加了5.85%,气隙磁密畸变率减少了10.52%,齿槽转矩减少了15.52%,电机本体效率可达到95.54%。结论优化后电机的电磁性能均得到显著提升,验证了田口法在内置式FSPMM中优化设计的有效性。

基于混合谐波注入的潜水感应电机电磁噪声削弱

针对感应电机在变频供电时会在绕组中产生时间谐波而导致电机的电磁振动和噪声增大的问题,提出了一种采用混合谐波注入的改进型正弦脉宽调制控制策略。以一台1120 kW的潜水感应电机为研究对象,通过对电机进行3、9次混合谐波注入,削弱了电压的调制波和载波谐波及其边带谐波分量,从而降低了电机的振动和噪声。对3、9次混合谐波注入方法中的谐波占比系数进行优化,进一步强化了对边带谐波的削弱效果,整体降低了电机噪声。最后通过对采用混合谐波注入方法的电机与优化前的常规电机进行铁耗、铜耗等方面的性能对比,验证了所提策略在不影响电机的基本性能的前提下,有效削弱了电机的电磁噪声。

基于监督下降法的短偏移距瞬变电磁快速反演研究

短偏移距瞬变电磁法(简称SOTEM)通常采用传统式基于物理建模的反演方法,反演效率较低,不易灵活融入先验信息,而基于数据驱动的反演方法能够提高反演精度与效率,泛化能力却难以保证。为了提高SOTEM数据反演的精度和效率,并兼顾可靠的泛化能力,本文探索了一种融合物理建模与数据驱动的反演方法,将机器学习中监督下降法应用于SOTEM数据反演中。基于监督下降法的SOTEM数据反演分为线下训练和线上预测,线下训练时通过合理的训练集灵活融入先验信息,获得隐含模型特征的平均下降方向,线上预测时借助物理建模函数和训练所得下降方向,在传统反演框架下完成模型参数重建。文中利用层状大地模型构建训练集和测试集,实现了基于监督下降法的SOTEM数据一维反演,并与传统Occam算法进行了对比。结果表明:基于监督下降法的SOTEM反演效率大幅提升,反演精度较高,具有良好的泛化能力。

轴向球面磁悬浮飞轮电机磁热固耦合分析

针对轴向球面磁悬浮飞轮电机(Axially spherical bearingless flywheel machine,AS-BFM)在电磁、温度和应力耦合作用下的温升和形变问题,提出磁热固耦合的温度场分布和部件形变求解分析方法。该方法基于轴向球面磁悬浮飞轮电机的电磁损耗分析,确立各部件的热参数和应力参数,并建立电机三维有限元分析模型;在此基础上,求解得到电机在不同转速下的损耗和温度场分布特性,并将温度场结果作为载荷导入应力场分析求解电机各部件形变规律;最后,通过耦合仿真分析揭示了电机不同转速对温升和形变的影响规律,三维有限元分析结果验证了磁热固耦合分析方法的有效性,为电机的散热设计、结构优化以及材料选择提供了依据。