Circularly polarized patch antenna with simultaneously wide frequency tuning range and high gain performance

A tunable circularly polarized square patch antenna with parasitic elements is designed for a wide frequency tuning range and high gain characteristics. The proposed antenna is constructed by one main patch and four semi-elliptic parasitic units. By loading four varactor diodes and adjusting their capacitance values, the tunable feature is performed to reallocate the corresponding working frequency. Moreover, the diagonal corners of the antenna are cut and loaded with varactor diodes, which provide the appropriate perturbation between the two orthogonality modes of the antenna, so as to ensure the circular polarization characteristic in the entire operating tuning band. The experimental results demonstrate that the reflection coefficient and axial ratio are less than −13 dB and 3 dB, respectively. The proposed antenna features a relatively wide continuously tuning range of 24% within 1.9-2.3 GHz and a stable gain of over 7 dBi with a radiation efficiency of above 85%.     

Few-shot node classification via local adaptive discriminant structure learning

Node classification has a wide range of application scenarios such as citation analysis and social network analysis. In many real-world attributed networks, a large portion of classes only contain limited labeled nodes. Most of the existing node classification methods cannot be used for few-shot node classification. To train the model effectively and improve the robustness and reliability of the model with scarce labeled samples, in this paper, we propose a local adaptive discriminant structure learning (LADSL) method for few-shot node classification. LADSL aims to properly represent the nodes in the attributed graphs and learn a metric space with a strong discriminating power by reducing the intra-class variations and enlarging inter-class differences. Extensive experiments conducted on various attributed networks datasets demonstrate that LADSL is superior to the other methods on few-shot node classification task.     

Neural network-based event-triggered cluster quasi-consensus for unknown multiagent systems with directed topology

This paper studies cluster quasi-consensus problem for a class of unknown nonlinear multiagent systems (MASs) with directed communication topology. First, a distributed continuous neural network (NN)-based adaptive protocol is presented for solving this problem by introducing reference model to each agent. Then, taking limited communication resource and energy consumption into account, a distributed event-triggered cluster quasi-consensus protocol is proposed. Different from the existing results, two event-triggered mechanisms are constructed in the proposed event-triggered protocol to reduce communication load and control update frequency as possible. The sufficient conditions that guarantee cluster quasi-consensus under the both proposed protocols are obtained, respectively. Zeno behavior is proved to be excluded. Finally, simulation results verify the effectiveness of the proposed protocols.     

面向双相机标靶的倾斜仪安装误差补偿方法

针对双轴倾斜仪在和其他位姿测量传感器组合应用时,由于自身坐标轴真实指向无法通过机械外壳准确映射,造成其 难以实现安装位置误差精确标定,进而导致引入测量误差的问题。 以面向直线顶管掘进机导向的双相机标靶为研究对象,利用 三点位姿转换算法求取姿态角理论值,再结合双轴倾斜仪角度测量值建立误差补偿矩阵,对姿态参数进行校正。 通过仿真分析 和实测实验,提出的方法可以实现双轴倾斜仪测量角度信息的精确补偿,姿态角绝对测量精度优于 0. 02°,满足直线顶管导向 行业精度要求,并可以在其他基于双轴倾斜仪的组合测量系统中广泛推广应用。     

破坏准则模糊性对心墙堆石坝地震易损性影响北大核心CSCD

心墙堆石坝地震破坏是渐变的过程,目前地震易损性研究均采用确定性的破坏准则;然而由于对破坏等级认知的局限性,导致地震破坏等级的划分具有模糊性。针对上述问题,本文提出考虑破坏准则模糊性的心墙堆石坝地震易损性分析方法。首先,采用模糊集理论将大坝破坏等级界限值模糊化,并提出能够反映隶属度函数形式和模糊区间大小的模糊度系数来量化地震模糊破坏等级;其次,依据地震模糊破坏等级推导地震易损性函数模糊-概率积分计算公式,弥补目前地震易损性函数计算公式依据确定性破坏准则的不足,并结合概率地震需求模型,获得破坏准则模糊条件下的大坝地震易损性曲线,得到坝体结构在不同地震强度作用下产生各个等级破坏的概率。将所提方法应用于糯扎渡心墙堆石坝地震易损性分析中,结果表明:考虑破坏准则模糊性获得的地震易损性曲线与传统易损性曲线趋势一致;在破坏准则模糊性条件下,相同坝顶震陷率对于发生高等级破坏的隶属度增加,导致在一定的地震动强度下,坝体发生高等级破坏的概率有所增加;此外,模糊度系数越大,破坏准则模糊性对地震易损性的影响越大。     

Preparation and dielectric properties of La doped NBCCTO ceramics

Journal of Electroceramics - CaCu3Ti4O12 ceramics have great dielectric constant, excellent temperature stability and good frequency stability. However, due to high dielectric loss, its practical...     

电化学储能在保底变电站中的配置方案与控制策略

开展保底电网的研究是落实国家能源局关于坚强局部电网规划建设实施方案的重要举措,储能技术的应用可完善严重故障下保底电网按局部电网独立运行的能力。针对这一问题,提出了一种电化学储能在保底变电站中的配置方案与控制策略。首先,探讨了电化学储能在保底变电站中的接入方式,并根据灾害期间的供电负荷发展水平制定了电化学储能的容量配置方案;然后,提出了电流补偿方法、相位补偿方法以及相位预同步方法等,以实现保底变电站在并网转孤网、孤网转并网运行期间的平滑切换,完善了储能系统的抗灾控制策略;最后,以广东沿海某地区电网的保底变电站为例仿真验证了所提方法的有效性。     

配网并串补模块交互影响分析与并补协同策略研究

针对串并联电能质量补偿装置联合运行时潜在的谐波交互影响问题,以串联电压型补偿装置DVR、并联电流型补偿装置APF为例,分析延迟效应的非线性因素对电网残余谐波电流的影响。构建基于DVR与APF联合运行的简化等效阻抗模型,分析潜在并联谐振问题,并给出解决方案。针对常态化重要负荷的谐波补偿问题,对比分析单台式、阵列式APF等两类运行模式的特点及适用场合。针对模块化APF阵列运行损耗问题,提出了基于等损耗微增率补偿策略的集中控制模式,并开展了APF阵列的工程应用案例分析。     

IGBT芯片静态输出曲线连续测量方法

绝缘栅双极型晶体管(IGBT)芯片的静态输出曲线是考核其能量损耗及指导多芯片并联设计的重要指标之一。现有测量IGBT静态输出曲线的方法多采用商用化的功率器件分析仪,然而商业化功率器件分析仪存在价格昂贵、夹具单一的问题。亟需开发一种简单、快速、有效的静态输出曲线测量方法。面向高压IGBT芯片,提出一种新的静态输出曲线连续测量方法及测试电路,有效减小了IGBT芯片的电导调制效应和温升效应对静态输出曲线的影响。通过实时测量动态过程中的电压及电流,可以快速得到IGBT芯片静态输出曲线。通过对比本文连续法与功率器件分析仪的测量结果,证明了所提方法的有效性。     

Ka频段卫通相控阵封装天线设计与实现

针对卫星通信对终端天线低剖面、低功耗、极化可变及发射控制等需求,采用平板相控阵架构、极化可变阵列、稀疏布阵等技术,研制了一台基于单板集成封装技术的Ka频段卫星通信相控阵天线。该天线满足高轨同步卫星宽带应用需求和适航符合性验证试验DO-160G要求,经长时间跑车和飞行试验,其性能优良,可靠性高。