A BPR-CNN Based Hand Motion Classifier Using Electric Field Sensors

In this paper,we propose a BPR-CNN(Biometric Pattern Recognition-Convolution Neural Network)classifier for hand motion classification as well as a dynamic threshold algorithm for motion signal detection and extraction by EF(Electric Field)sensors.Currently,an EF sensor or EPS(Electric Potential Sensor)system is attracting attention as a next-generationmotion sensing technology due to low computation and price,high sensitivity and recognition speed compared to other sensor systems.However,it remains as a challenging problem to accurately detect and locate the authentic motion signal frame automatically in real-time when sensing body-motions such as hand motion,due to the variance of the electric-charge state by heterogeneous surroundings and operational conditions.This hinders the further utilization of the EF sensing;thus,it is critical to design the robust and credible methodology for detecting and extracting signals derived from the motion movement in order to make use and apply the EF sensor technology to electric consumer products such as mobile devices.In this study,we propose a motion detection algorithm using a dynamic offset-threshold method to overcome uncertainty in the initial electrostatic charge state of the sensor affected by a user and the surrounding environment of the subject.This method is designed to detect hand motions and extract its genuine motion signal frame successfully with high accuracy.After setting motion frames,we normalize the signals and then apply them to our proposed BPR-CNN motion classifier to recognize their motion types.Conducted experiment and analysis show that our proposed dynamic threshold method combined with a BPR-CNN classifier can detect the hand motions and extract the actual frames effectively with 97.1%accuracy,99.25%detection rate,98.4%motion frame matching rate and 97.7%detection&extraction success rate.

Driving and Braking Control of PM Synchronous Motor Based on Low-resolution Hall Sensor for Battery Electric Vehicle

Resolvers are normally employed for rotor positioning in motors for electric vehicles, but resolvers are expensive and vulnerable to vibrations. Hall sensors have the advantages of low cost and high reliability, but the positioning accuracy is low. Motors with Hall sensors are typically controlled by six-step commutation algorithm, which brings high torque ripple. This paper studies the high-performance driving and braking control of the in-wheel permanent magnetic synchronous motor （PMSM） based on low-resolution Hall sensors. Field oriented control （FOC） based on Hall-effect sensors is developed to reduce the torque ripple. The positioning accuracy of the Hall sensors is improved by interpolation between two consecutive Hall signals using the estimated motor speed. The position error from the misalignment of the Hall sensors is compensated by the precise calibration of Hall transition timing. The braking control algorithms based on six-step commutation and FOC are studied. Two variants of the six-step commutation braking control, namely, half-bridge commutation and full-bridge commutation, are discussed and compared, which shows that the full-bridge commutation could better explore the potential of the back electro-motive forces （EMF）, thus can deliver higher efficiency and smaller current ripple. The FOC braking is analyzed with the phasor diagrams. At a given motor speed, the motor turns from the regenerative braking mode into the plug braking mode if the braking torque exceeds a certain limit, which is proportional to the motor speed. Tests in the dynamometer show that a smooth control could be realized by FOC driving control and the highest efficiency and the smallest current ripple could be achieved by FOC braking control, compared to six-step commutation braking control. Therefore, FOC braking is selected as the braking control algorithm for electric vehicles. The proposed research ensures a good motor control performance while maintaining low cost and high reliability.

HIGH PERFORMANCE ELECTRIC FIELD MICRO SENSOR WITH COMBINED DIFFERENTIAL STRUCTURE

This paper presents a high performance electric field micro sensor with combined differential structure.The sensor consists of two backward laid micro-machined chips,each packaged by polymer and metal.The novel combined differential structure effectively reduces various environmental affections,such as thermal drift,humidity drift and electrostatic charge accumulation.The sensor is tested in near-ground place as well as balloon-borne sounding.In different weather conditions,the measurement results showed good agreement with those of the commercial electric field mill.

Effect of aging in an electric field on microstructures and properties of 1420 Al-Li alloy

After solution treatment, the 1420 Al-Li alloy samples were aged at different temperatures in an electric field with different intensity. The measurements made showed that the electric field increased the strength of the 1420 Al-Li alloy, and best properties were obtained when they were aged at 120 ℃ with E=4 kV/cm for 12 hrs. The electric field promoted the nucleation of δ′ phase, increased the quantity of the δ′ phase, and made the size of the δ′ phase particles smaller. The electric field restrained the formation and growth of PFZ, and increased the intensity of the electric field while the width of the PFZ was decreased.

ELECTRIC FIELD SENSORS BASED ON MEMS TECHNOLOGY

The design and optimization of two types of novel miniature vibrating Electric Field Sensors (EFSs) based on Micro Electro Mechanical Systems (MEMS) technology are presented.They have different structures and vibrating modes. The volume is much smaller than other types of charge-induced EFSs such as field-mills. As miniaturizing, the induced signal is reduced enormously and a high sensitive circuit is needed to detect it. Elaborately designed electrodes can increase the amplitude of the output current, making the detecting circuit simplified and improving the signal-to-noise ratio. Computer simulations for different structural parameters of the EFSs and vibrating methods have been carried out by Finite Element Method (FEM). It is proved that the new structures are realizable and the output signals are detectable.

Off-Shore Sea Surface Electric Field Investigations around the Indian Sub-Continent during 9-20 May 1983

Sea surface electric field observations off the coast from Goa (15°25'N, 73°47'E) to Madras (13°04'N, 80°15'E) around Sri Lanka, in a distance range 25-135 km from coast, during 9-20 May 1983 were taken. In this paper we have examined the diurnal variation of electric field in the Arabian Sea, Indian Ocean and Bay of Bengal regions covered during the cruise of the research ship ORV Gaveshani. An aspect of electric field dependence on coastal distance and Aitken Nuclei concentration has also been studied. An attempt to examine the latitude dependence of field was also made. Results obtained in the above studies are presented and compared with those obtained elsewhere.

<i>γ</i>-Ray Irradiation Effect on MCF Rubber Solar Cells with both Photovoltaics and Sensing Involving Semiconductors Fabricated under Magnetic and Electric Fields

For cases in which a robot with installed solar cells and a sensor operates in a nuclear reactor building or in space for extravehicular activity, we require elastic and extensible solar cells. More than two different types of sensing are also required, minimally with photovoltaics and built-in electricity. Magnetic compound fluid (MCF) rubber solar cells are made of rubber, so they are elastic and extensible as well as sensitive. To achieve flexibility and an effective photovoltaic effect, MCF rubber solar cells must include both soluble and insoluble rubbers, Fe3O4, TiO2, Na2WO4∙2H2O, etc. On the basis of this constitution, we propose a consummate fabrication process for MCF rubber solar cells. The characteristics of these cells result from the semiconductor-like role of the molecules of TiO2, Fe3O4, Ni, Na2WO4∙2H2O, polydimethylsiloxane (PDMS), natural rubber (NR), oleic acid, polyvinyl alcohol (PVA), water and magnetic cluster involved in the MCF rubber. Their tendencies can be deduced by synthesizing knowledge about the enhancement of the reverse-bias saturation current IS and the diode ideality factor N, with conventional knowledge about the semiconductor affected by γ-irradiation and the attenuation of the photon energy of γ-rays.

Variations in the Atmospheric Electric Field at Tropical Station during 1930-1987

The variations noticed in the atmospheric electric field recorded at Pune (18°32'N, 73°51'E, 559 m ASL), a tropical inland station located in Dcccan Plateau, India, during the period 1930-1987, have been examined in relation to the variations observed in the Angstrom turbidity coefficient (β) and selected meteorological parameters. The monthly and annual mean values of the atmospheric electric field. Angstrom turbidity coefficient (β), rainfall, temperature and relative humidity for the years 1930-1938, 1957-1958, 1964-1965, 1973-1974 and 1987 were considered in the study.The results of the above study indicated gradual increases in the atmospheric electric field over the period of study (1930-1987) which is statistically significant at less than 5%level. The increases noticed during different periods varied from 30 to 109%. The increase noticed during the period (1930-1938) and (1973-1974) was maximum (109%). The Angstrom turbidity coefficient also showed systematic increases during the period of study, which is consistent. The diurnal curve of the atmospheric electric field at the station by and large, showed a double oscillation, which is generally observed in the conlinental environments.

A MICROFABRICATED METAL GRATING OSCILLATOR FOR ELECTRIC FIELD DETECTION

This letter proposes a novel design of a Micro Electro Mechanical System （MEMS） device featuring a metal grating vibratory mierostructure driven by electrostatic force to sense the spatial electric field. Due to the advantages in slide-film damping and large vibration amplitude, such a device makes atmospheric packaging a low-cost option for practical manufacture. In this letter, we present the operating principles and specifications, the design structure, as well as the finite element simulation. Computational analysis shows that our design obtains good results in device parameters setting, while its simplicity and low-cost features make it an attractive solution for applications.

QAM signal with electric field sensor based on thin-film lithium niobate [Invited]

Large-bandwidth,high-sensitivity,and large dynamic range electric field sensors are gradually replacing their traditional counterparts.The lithium-niobate-on-insulator(LNOI)material has emerged as an ideal platform for developing such devices,owing to its low optical loss,high electro-optical modulation efficiency,and significant bandwidth potential.In this paper,we propose and demonstrate an electric field sensor based on LNOI.The sensor consists of an asymmetric Mach–Zehnder interferometer(MZI)and a tapered dipole antenna array.The measured fiber-to-fiber loss is less than−6.7 dB,while the MZI structure exhibits an extinction ratio of greater than 20 dB.Moreover,64-QAM signals at 2 GHz were measured,showing an error vector magnitude(EVM)of less than 8%.

A seafloor electromagnetic receiver for marine magnetotellurics and marine controlled-source electromagnetic sounding

In planning and executing marine controlled-source electromagnetic methods, seafloor electromagnetic receivers must overcome the problems of noise, clock drift, and power consumption. To design a receiver that performs well and overcomes the abovementioned problems, we performed forward modeling of the E-field abnormal response and established the receiver＇s characteristics. We describe the design optimization and the properties of each component, that is, low-noise induction coil sensor, low-noise Ag/AgCI electrode, low-noise chopper amplifier, digital temperature-compensated crystal oscillator module, acoustic telemetry modem, and burn wire system. Finally, we discuss the results of onshore and offshore field tests to show the effectiveness of the developed seafloor electromagnetic receiver and its performance： typical E-field noise of 0.12 nV/m/rt（Hz） at 0.5 Hz, dynamic range higher than 120 dB, clock drift lower than 1 ms/day, and continuous operation of at least 21 days.

基于SOI-SOG键合的圆片级真空封装MEMS电场传感器

圆片级真空封装是提高微电子机械系统(Micro-Electro-Mechanical Systems,MEMS)电场传感器品质因数及批量化制造效率的重要途径.本文提出了一种基于绝缘体上硅(Silicon On Insulator,SOI)-玻璃体上硅(Silicon On Glass,SOG)键合的圆片级真空封装MEMS电场传感器,设计并实现了从传感器敏感结构制备到真空封装的整套圆片级加工工艺.本文建立了传感器的结构电容模型,进行了有限元仿真,分析了传感器的特性,突破了传感器微结构制备与释放、SOI与SOG键合等工艺技术难点.该传感器具有工作电压低、品质因数高的突出优点.实验结果表明,工作电压仅为5 V直流与0.05 V交流电压.在60天测试过程中,传感器品质因数始终保持在5000以上.在0~50 kV/m范围内,传感器灵敏度为0.15 mV/(kV/m),线性度为2.21%,不确定度为4.74%.

石墨烯柔性压阻传感器微织构压缩应变机制

为满足智能机器人、电子皮肤等领域对柔性传感器高灵敏度日益增加的需求,通过设计高表面积形貌以制备石墨烯凸台微织构柔性传感器,并对比分析有无微织构传感器的灵敏度;基于结构力学方程与静电方程,建立微织构柔性传感器模型,开展了电场作用不同基底厚度以及微织构间距下柔性传感器微织构应变的数值模拟,研究柔性压阻传感器微织构压缩应变机制,探寻机械载荷和电载荷的交互作用关系。结果表明,柔性基底的微织构化处理能有效提高柔性压阻传感器的灵敏度。模型总位移的最大值随基底厚度的增加呈非线性增加,微织构应变随着厚度的增加而减小。电场作用下微织构应变受机电耦合压力叠加的影响均大于无电场作用。框状微织构类似于悬臂梁,作用在微织构上的力矩随间距增加而增大,同时刚度减小,微织构的压缩形变增加,应变增大。组合尺寸微织构的应变随着微织构间距的增加而增大,制备多尺寸微结构传感器可使用(150+350)μm的组合尺寸,能够有效增加接触面积提高传感器灵敏度。机械载荷和电载荷的耦合作用,组合尺寸对力矩与刚度的分配有效增加了基底的应变,提高了柔性传感器的灵敏度。

里德堡原子电场传感器的自校准性解析及测量不确定度评定

传统电场传感器需要标准场或更高准确度等级的传感器进行校准,而基于原子固有能级结构和光谱特征的里德堡原子电场测量可溯源至基本物理常数,量子传感自带校准功能。该文阐述了里德堡原子与外场相互作用的量子相干效应,说明了里德堡原子传感器的电场测量原理,并解析了其自校准性。基于所构建的针对低频电场的里德堡原子传感测量系统,分析了误差来源,定义和计算了各种不确定度分量,得到合成相对标准不确定度为3.885%;保守考虑,在大于或等于95.45%的包含概率下得到扩展不确定度为7.77%。在此过程中,明确了不确定度的主要影响因素并提出了减小其影响的建议。最后给出传感系统实测电磁诱导透明(EIT)光谱频移量与电场强度之间的拟合函数,拟合确定系数达到0.9969,验证了所构建的低频电场量子测量系统的准确性。

低轴间耦合的三维电场传感器

使用正交排列的电容式传感单元的三维电场传感器(Three-dimensional electric field sensor,3D EFS)测量空间电场时,轴间耦合效应会严重影响EFS的测量精度。为此,提出了一种电场屏蔽电极,以降低3D EFS的轴间耦合效应,提高测量精度。首先,利用多物理场仿真软件构建电场分布模型。其次,根据仿真结果建立带屏蔽电极的3D EFS电容式传感单元的屏蔽电极模型。最后,建立任意角度的测试平台,将带有屏蔽电极的3D EFS和无屏蔽电极的3D EFS进行实验对比。结果显示,有屏蔽电极的3D EFS的测量偏差在3.2%以内,比无屏蔽电极的3D EFS的测量偏差减少12%。因此,所设计的基于电场屏蔽结构的3D EFS可以使解耦矩阵更加可靠,有效降低空间电场测量偏差。

基于多级电容电场感应取能周期性供电电源的优化设计方法

电场能因具有供能稳定的特点可作为输变电设备上在线监测设备的可靠供电来源,但在实际应用场景中存在因取能功率密度低而使在线监测装置工作间歇时间较长的问题。针对该问题,该文提出一种基于多级电容的电场感应取能电源结构及控制方式,协调各级取能电容充放电工作模式,并通过采用多绕组变压器能量传输媒介、优化配置取能电源关键参数,有效降低装置损耗与体积,提升能量转移效率。最终通过实验测试可在高压电场下进行能量采集,当采用两级取能电路进行取能的情况下,通过优化关键取能参数使得每周期取能能量可达226 mJ,工作时间增加至优化前的2.11倍,可满足无线电流传感器工作1.648 s,发送3次在线监测数据。

面向架空输电线路的防外破装置设计

针对传统防外破技术抗干扰能力弱、适配性低、报警效果差以及平板电容型传感器对称结构中存在的边缘效应问题,研制一种适用于多组态与多电压等级架空输电线路的防外破装置。首先,分析感应电压与场强关系,进行等位环结构改进并完成PCB设计制作,利用Ansys Maxwell搭建多组态与多电压等级架空输电线路仿真模型,为报警阈值设定提供理论依据;其次,完成防外破装置的硬件与软件设计,实现不同线路情况下的电压档位选择、电场信号采集处理以及声光报警等功能;最后,搭建10 kV模拟架空输电线路高压实验环境并进行现场验证,测试分析装置的工作性能。结果表明,所设计的防外破装置感应电压测量平均相对误差在3%以内,与测试电压线性相关系数R=0.9997,其变化规律符合电场分布规律;现场报警成功率为100%,装置稳定可靠、兼顾精准性与线性度要求。

配电网单相接地故障的电场检测装置研制

为了提升电场检测精度,研制配电网单相接地故障的电场检测装置。利用低通调理电路采集传感单元在电场中产生的感应电压,实时计算出线路附近的电场强度。使用COMSOL软件对输电线路单相接地故障情况进行有限元仿真,观察空间电场的变化情况。搭建工频均匀电场试验平台,对PCB传感单元进行电场强度测量校正,验证COMSOL电场强度仿真值。利用验证后的仿真值对平行半圆板电场测量传感单元进行校正,建立输电线路模型,对输电线路发生单相接地故障前后的电场强度进行测量。实验结果表明,当线路A相发生接地故障时,其周围电场强度迅速减小,而B、C两相周围电场强度增大,与仿真结果一致,电场检测精度较高。

基于集成光学的兆伏每米强脉冲电场传感器研制

针对兆伏每米(MV/m)强脉冲电场的测量需求,设计并研制了基于集成光学的共路干涉仪(CPI)小体积宽带脉冲电场传感器。基于电光效应及电光调制原理,建立了传感器的幅度和频率响应传递函数,分析了集成光学探头的接收特性,并推导了探头灵敏度和带宽随波导长度的关系。设计了适用于MV/m量级脉冲电场测量的纯光学非金属CPI传感器,提出了利用晶体宽度对测量灵敏度调控的方法,使得设计的半波电场提高了2倍以上。研制的无源探头体积小于20 mm×10 mm×5 mm、理论带宽大于4 GHz、最大测量幅度大于1.2 MV/m。研制的传感器在高空电磁脉冲(HEMP)、雷电电磁脉冲(LEMP)及脉冲功率等领域具有应用前景。

雷电冲击下棒-板间隙空间电场的测量

长空气间隙放电特性是特高压输电技术的重要研究内容,电场测量作为其重要研究手段,是近年来的研究热点之一。为此,建立了以高场强光电集成电场传感器为核心的空间电场测量系统。利用平板电极对电场测量系统进行校准,获得系统的输入输出特性;通过时域波形对比,证明测量系统具有良好的动态响应特性。利用该系统对1m棒-板间隙在正极性雷电冲击电压作用下的空间电场进行定量测量,得到了空间电场的时域波形。采用模拟电荷法,对试验条件下的电场幅值进行计算,实测值与理论计算结果比较相符,其最大误差<5%,证明该空间电场测量系统完全可以用于空气间隙放电电场的定量测量,为长空气间隙放电提供了重要的研究手段。