Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks

The present study addresses the problem of fault estimation for a specific class of nonlinear time-varying complex networks,utilizing an unknown-input-observer approach within the framework of dynamic event-triggered mechanism(DETM).In order to optimize communication resource utilization,the DETM is employed to determine whether the current measurement data should be transmitted to the estimator or not.To guarantee a satisfactory estimation performance for the fault signal,an unknown-input-observer-based estimator is constructed to decouple the estimation error dynamics from the influence of fault signals.The aim of this paper is to find the suitable estimator parameters under the effects of DETM such that both the state estimates and fault estimates are confined within two sets of closed ellipsoid domains.The techniques of recursive matrix inequality are applied to derive sufficient conditions for the existence of the desired estimator,ensuring that the specified performance requirements are met under certain conditions.Then,the estimator gains are derived by minimizing the ellipsoid domain in the sense of trace and a recursive estimator parameter design algorithm is then provided.Finally,a numerical example is conducted to demonstrate the effectiveness of the designed estimator.

A Method for Reducing Ocean Wave-Induced Magnetic Noises in Shallow-Water MT Data Using a Complex Adaptive Filter

In shallow-water areas,the marine magnetotelluric(MT)method faces a challenge in the investigation of seabed conductivity structures due to electrical and magnetic noises induced by ocean waves,which seriously contaminate MT data.Ocean waves can affect electric and magnetic fields to different extents.In general,their influence on magnetic fields is considerably greater than that on electric fields.In this paper,a complex adaptive filter is adopted to reduce wave-induced magnetic noises in the frequency domain.The processing results of synthetic and measured MT data indicate that the proposed method can effectively reduce wave-induced magnetic noises and provide reliable apparent resistivity and phase data.

A pseudo differential Gm-C complex filter with frequency tuning for IEEE802.15.4 applications

This paper presents a CMOS G;-C complex filter for a low-IF receiver of the IEEE802.15.4 standard.A pseudo differential OTA with reconfigurable common mode feedback and common mode feed-forward is proposed as well as the frequency tuning method based on a relaxation oscillator.A detailed analysis of non-ideality of the OTA and the frequency tuning method is elaborated.The analysis and measurement results have shown that the center frequency of the complex filter could be tuned accurately.The chip was fabricated in a standard 0.35μm CMOS process,with a single 3.3 V power supply.The filter consumes 2.1 mA current,has a measured in-band group delay ripple of less than 0.16μs and an IRR larger than 28 dB at 2 MHz apart,which could meet the requirements of the IEEE802.15.4 standard.

Design of complex FIR filters with arbitrary magnitude and group delay responses

To design approximately linear-phase complex coefficient finite impulse response （FIR） digital filters with arbitrary magnitude and group delay responses, a novel neural network approach is studied. The approach is based on a batch back-propagation neural network algorithm by directly minimizing the real magnitude error and phase error from the linear-phase to obtain the filter＇s coefficients. The approach can deal with both the real and complex coefficient FIR digital filters design problems. The main advantage of the proposed design method is the significant reduction in the group delay error. The effectiveness of the proposed method is illustrated with two optimal design examples.

Third-order active-RC complex filter with automatic frequency tuning for ZigBee transceiver applications

A 3rd-order Butterworth active-RC complex band-pass filter was presented for Zig Bee(IEEE802.15.4) transceiver applications. The filter adopted cascaded complex pole stages to realize the 3 MHz bandwidth with a centre frequency of 2 MHz which was required by the Zig Bee transceiver applications. An automatic frequency tuning scheme was also designed to accommodate the performance deterioration due to the process, voltage and temperature(PVT) variations. The whole filter is implemented in a 0.18 μm standard process and occupies an area of 1.3 mm×0.6 mm. The current dissipation is 1.2 m A from a 1.8 V single power supply. Measurement results show that the image rejection ratio(IRR) of the filter is 24.1 d B with a pass-band ripple less than 0.3 d B. The adjacent channel rejection is 29.8 d B@7 MHz and alternate channel rejection 47.5 d B@12 MHz, respectively.

Improved complex filter applied in enhancing EFT/B immunity at a coal mine monitoring substation

A monitoring system is an important guarantee of safety in a production mine. However, not all monitoring substations pass the electrical fast transient/burst (EFT/B) immunity test and the explosion-proof test simultaneously. To enhance the immunity, the values of capacitance and inductance should be increased, which are actually limited by coal mine explosion-proof standards. Hence, for the first time, an active filter was applied in an electromagnetic interference (EMI) output filter. As a result, the interference within 30 MHz clearly weakened, but the frequency spectrum had a wide range. An EMI input filter and ferrite beads were adopted to restrain higher frequency interference. An output interference spectrogram of the substation was obtained with an analyzer. The results indicate that the improved complex filtering markedly help to control interference. With the support of improved complex filtering and other enhancing immunity means about I/O ports, the substation managed to pass both the EFT/B immunity test and the explosion-proof test synchronously. We conclude that improved complex filtering is of vital importance in enhancing the electromagnetic compatibility (EMC) of the coal mine monitoring system.

A 4TH ORDER FULLY INTEGRATED ACTIVE RC COMPLEX FILTER WITH NOVEL AUTOMATIC TUNING SYSTEMS

This letter introduces a 4th order active RC complex filter with 1.5MHz center frequency and 1MHz bandwidth. The total harmonic distortion of the filter is less than –60dB and the image rejection ratio is greater than 60dB. A novel technique is also proposed in this letter to automatically adjust the variation of the time constant. The advantages of the proposed method are its high precision and simplicity. Using 5bits control words, the tuning error is less than ±1.6%.

Continuously Variable Bandwidth Sharp FIR Filters with Low Complexity

In software defined radio (SDR), sharp filters of different bandwidth are required to fine tune the desired channel. This requires different computational resources and large number of filter coefficients. This paper proposes a continuously variable bandwidth sharp finite impulse response (FIR) filter with low distortion and low complexity. For this, a fixed length FIR filter is used with two arbitrary sampling rate converters. This system can be used for both the continuous increase as well as decrease of the effective bandwidth of a filter. The low complexity and sharpness are achieved by using the frequency-response masking (FRM) approach for the design of the fixed length FIR filter. The sharp transition width leads to maximum rejection to channel interference in SDR.

A 0.9 V Supply OTA in 0.18 μm CMOS Technology and Its Application in Realizing a Tunable Low-Pass Gm-C Filter for Wireless Sensor Networks

A low voltage low power operational transconductance amplifier (OTA) based on a bulk driven cell and its application to implement a tunable Gm-C filter is presented. The linearity of the OTA is improved by attenuation and source degeneration techniques. The attenuation technique is implemented by bulk driven cell which is used for low supply voltage circuits. The OTA is designed to operate with a 0.9 V supply voltage and consumes 58.8 μW power. A 600 mVppd sine wave input signal at 1 MHz frequency shows total harmonic distortion (THD) better than -40 dB over the tuning range of the transconductance. The OTA has been used to realize a tunable Gm-C low-pass filter with gain tuning from 5 dB to 21 dB with 4 dB gain steps, which results in power consumptions of 411.6 to 646.8 μW. This low voltage filter can operate as channel select filter and variable gain amplifier (VGA) for wireless sensor network (WSN) applications. The proposed OTA and filter have been simulated in 0.18 μm CMOS technology. Corner case and temperature simulation results are also included to forecast process and temperature variation affects after fabrication.

具有系数相关性的可变分数时延滤波器设计方法

针对可变分数时延滤波器设计中的复杂度问题提出一种设计方法,将时域插值与泰勒级数展开相结合对Farrow结构进行系数配置,推导出相应的滤波器系数相关公式。该方法设计出的滤波器具有系数相关性,可使近一半滤波器系数独立,并得到低复杂度的滤波器实现结构。从复杂度、幅频响应及群时延、误差方面进行理论推导和仿真验证,分析结果表明,所提方法能有效降低可变分数时延滤波器的复杂度和计算成本。

改进滑模观测器的电流源逆变器驱动PMSM无位置传感器控制

由于电流源逆变器(CSI)的叠流效应以及前级DC-DC控制的母线电流脉动较大,使得扩展反电动势中含有大量谐波,造成较大的位置误差。针对此问题,该文提出一种改进滑模观测器的电流源逆变器驱动永磁同步电机无传感器控制方法。首先,基于传统滑模观测器,设计复系数滤波器代替传统低通滤波器,实现了对估计反电动势的准确提取,同时也抑制了估计反电动势中的高频抖动和高次谐波。其次,将二阶广义积分器内嵌于锁相环中,用于消除位置误差信号中的低次谐波,提高位置观测准确度。最后,将估算的速度信息反馈回复系数滤波器,实现复系数滤波器的自适应性。实验结果表明,所提方法在不同工况下,能够有效提高估算的转子位置精度,验证了方法的可行性与有效性。

基于SVD的复数UKF及电力系统对称分量估计

电力系统对称分量的检测对于电力系统安全稳定的运行具有很重要的意义。利用复数域无迹卡尔曼滤波算法,对三相电压系统的正负序分量及频率进行了估计。为了提高复数无迹卡尔曼滤波的参数估计精度及算法稳定性,引入最优自适应因子并对预测协方差矩阵进行SVD分解,提出了基于SVD的自适应CUKF算法。为消除零序分量,对三相电压分量进行αβ变换,定义了复数形式的状态变量,建立了非线性状态方程及观测方程,实现了正序、负序对称分量估计。通过与普通复数域无迹卡尔曼滤波算法对比,所提研究方法在估计精度及收敛速度等方面优于传统无迹卡尔曼滤波方法。

一种Gm-C复数滤波器频率调谐电路

采用TSMC 0.25μm CMOS工艺,设计了一个Gm-C复数滤波器的频率调谐电路。基于PLL锁相技术,利用工作于深线性区的NMOS管和MiM电容组成的环形振荡器检测频率参数偏差,并自动调谐到希望值。仿真和测试结果表明,该电路能将频率偏差降低到3%以下。

复杂地形条件下充填工艺研究及应用

在构建高效绿色环境友好型矿山指导思想下,全尾砂胶结充填采矿法因其具备处理尾砂及控制围岩变形、降低开采对地表环境影响的优点,成为了矿山安全、高效、绿色开采的关键支撑技术,得到了全面的推广应用。在矿山应用过程中,尾砂料浆多采用管道运输,而在以陡峭山谷为主的复杂地形条件下,特别是长距离、大落差、反坡输送过程中,极易出现堵管、爆管,甚至损坏输送泵等问题,成为了限制大规模充填的瓶颈问题。本文以武里蒂卡金矿为例,在开展系统性试验研究获取完整充填试验数据的基础上,结合矿山总图布置特点、地形条件及采空区空间相对区域位置等因素,进行尾砂输送方案对比优选,首次提出适应大落差山地条件的压滤尾砂缆车运输再造浆充填工艺方案,并在现场成功实施和运行。矿山生产运行情况表明:单套充填系统即可满足矿山3 000 t/d的生产需求,充填料浆似膏体态,系统运行稳定,配比参数精准,充填质量有保障。压滤尾砂缆车运输再造浆工艺方案具有流程短、占地少、效率高、运行经济可靠等优点,在大落差山地条件下该充填工艺能够实现充填物料高效运输、制备及低成本充填,具有较好的推广应用意义。

双同步坐标系解耦滤波器复变量建模与分析

针对解耦双同步坐标系锁相环(DDSRF-PLL)传统实变量模型阶数较高、序分量响应不易观察、滤波性能评估困难等问题,提出了一种基于复变量的DDSRF-PLL建模方法。首先,建立了其复变量模型,分析了序分量响应特性,该复变量模型表明正序基波输出模型对负序基波分量实现负无穷大的衰减,同时可得到其他频率序分量的衰减增益;然后,基于提出的复变量模型,设计了二阶低通滤波器以显著增强解耦网络的滤波性能,并进一步分析了高阶低通滤波器的可行性与必要性。研究表明采用二阶低通滤波器即可满足大部分场景下的谐波抑制要求,且具有计算量小、模型阶数低、易于数字实现的优点。实验结果验证了所提复变量模型的正确性与有效性。

剪切增稠液微胶囊的制备与性能研究

本研究以壳聚糖材料为壁材,剪切增稠液(STF)为芯材,通过单凝聚法制备了STF微胶囊(STF MCs)。通过单因素实验研究,确定了微胶囊的制备工艺参数:司盘80(Span 80)与吐温80(Tween 80)作为分散剂,复配比例为3∶1;乳化剂用量为11%,核壳比为2∶1,搅拌速度为600 r/min,反应温度为60℃;体系的油水比为1∶2。在此条件下制得的STF MCs呈较为规整的球形,粒径分布较为均匀,且主要集中在3μm左右。结果表明,碳纳米管的引入有效改善了STF的流变性能。掺杂CNTs的STF体系具有更小临界剪切速率,更快的黏度突变,并且峰值黏度增加近一倍;芯材和微胶囊乳液的红外光谱大部分都一致,表明壳聚糖成功吸附在芯材液滴表面,实现了对STF的包封。壁材对芯材STF起到了保护作用,提升了芯材STF的热稳定性。

基于OTA的有源Gm-C复数带通滤波器的设计

设计了一种基于OTA的有源Gm-C复数带通滤波器,用以实现射频前端芯片中的中频滤波和镜像抑制功能,该滤波器采用Gyrator结构,将低通原型滤波器中的集总电感用有源电感进行替换,并依据复数变换理论,对浮地电容和接地电容进行复数变换,实现带通滤波器。滤波器中心频率为4.1MHz,1dB带宽2MHz,带内增益13.27dB,1.5倍带宽处抑制在40dB以上,镜像抑制度40dB。Gm-C滤波器集成度高,功耗低,适合于高频应用,是当前集成中频滤波器的热点。

基于视觉自注意力模型与轨迹滤波器的篮球战术识别

通过机器学习分析球员轨迹数据获得进攻或防守战术,是篮球视频内容理解的关键组成部分。传统机器学习方法需要人为设定特征变量,灵活性大大降低,因此如何自动获取可用于战术识别的特征信息成为关键问题。为此,该文基于美国职业篮球联赛(NBA)比赛中球员轨迹数据设计了一个篮球战术识别模型(TacViT),该模型以视觉自注意力模型(ViT)作为主干网络,利用多头注意力模块提取丰富的全局轨迹特征信息,同时并入轨迹滤波器来加强球场线与球员轨迹之间的特征信息交互,增强球员位置特征表示,其中轨迹滤波器以对数线性复杂度学习频域中的长期空间相关性。该文将运动视觉系统(SportVU)的序列数据转化为轨迹图,自建篮球战术数据集(PlayersTrack),在该数据集上的实验表明,TacViT的准确率达到了82.5%,相对未做更改的视觉自注意力S模型(ViT-S),精度上提升了16.7%。

一种复杂地形场景点云的WOA-CSF自适应性滤波方法

为解决布料模拟滤波算法(CSF)自适应性不高的问题,提出了一种基于鲸鱼优化算法(WOA)和自适应参数调整的改进CSF算法(WOA-CSF)。本文首先构造以误分类点云误差率最小为标准的适应度评价函数,然后采用WOA算法对CSF算法的四个参数进行自适应寻优,构建了WOA-CSF滤波算法,最后开展了WOA-CSF算法与CSF算法滤波实验的对比研究。实验结果表明:WOA-CSF算法在城市、乡镇、村庄和山区等四种复杂环境下平均Kappa系数从68.33%提升到81.54%,平均总误差率从10.54%下降到6.62%,平均I类误差率从25.87%下降到6.77%,在复杂场景下较好地滤除非地面点的同时,又极大程度上保留了地形特征。

复杂多径下IR-UWB自适应频偏估计算法研究

在脉冲超宽带定位系统中,时钟频率偏移是影响测距和测角精度的重要因素;针对复杂多径下频偏估计精度低的问题,设计了一种适应复杂多径环境的脉冲超宽带自适应频偏估计算法;首先,借助脉冲超宽带信号的抗多径优势,将实时估计的信道脉冲响应作为自适应匹配滤波模板,以保证复杂多径下相关峰的准确提取;利用相关峰辐角信息得到前导符号的相位序列;再使用贝叶斯估计算法提高频偏估计精度;在IEEE 802.15.4a标准CM1、CM2多径信道下进行仿真,仿真结果表明,低信噪比情况下,频偏估计精度保证在0.2 ppm以内;在巷道环境实验结果表明,50 m范围内频偏估计标准差在0.06 ppm以内;实现了复杂多径环境下高精度频偏估计,具有较强的实用性。