Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure

This paper investigates fault-tolerant finite-time dynamical consensus problems of double-integrator multi-agent systems (MASs) with partial agents subject to synchronous self-sensing function failure (SSFF). A strategy of recovering the connectivity of network topology among normal agents based on multi-hop communication and a fault-tolerant finite-time dynamical consensus protocol with time-varying gains are proposed to resist synchronous SSFF. It is proved that double-integrator MASs with partial agents subject to synchronous SSFF using the proposed strategy of network topology connectivity recovery and fault-tolerant finite-time dynamical consensus protocol with the proper time-varying gains can achieve finite-time dynamical consensus. Numerical simulations are given to illustrate the effectiveness of the theoretical results.     

Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder

As a complex field-circuit coupling system comprised of electric, magnetic and thermal machines, the permanent magnet synchronous motor of the electric vehicle has various operating conditions and complicated condition environment. There are various forms of failure, and the signs of failure are crossed or overlapped. Randomness, secondary, concurrency and communication characteristics make it difficult to diagnose faults. Meanwhile, the common intelligent diagnosis methods have low accuracy, poor generalization ability and difficulty in processing high-dimensional data. This paper proposes a method of fault feature extraction for motor based on the principle of stacked denoising autoencoder (SDAE) combined with the support vector machine (SVM) classifier. First, the motor signals collected from the experiment were processed, and the input data were randomly damaged by adding noise. Furthermore, according to the experimental results, the network structure of stacked denoising autoencoder was constructed, the optimal learning rate, noise reduction coefficient and the other network parameters were set. Finally, the trained network was used to verify the test samples. Compared with the traditional fault extraction method and single autoencoder method, this method has the advantages of better accuracy, strong generalization ability and easy-to-deal-with high-dimensional data features.     

束流轨道与相关环境参数的同步诊断技术

粒子加速器由于受地基振动、环境温度、热效应等因素的影响,导致束流位置探头（BPM）所在真空盒的机械中心相对四极铁磁中心的漂移较大,因此很难提高束流轨道的绝对测量精度。探索利用电容式探头实时检测该漂移量的方法。首先分析了电容式探头的测量原理,并设计了轨道振动同步诊断方案,然后设计了专用探头,并利用数据采集设备对探头的线性度、精度和频率响应进行实验室测试。结果显示电容式探头能检测到2 m的相对位移,且可有效检测300 Hz以下的振动频率,可用于束流轨道与相关环境参数的同步诊断。     

用磁开关产生重复频率多路同步高压脉冲

介绍一种重复频率多路同步高压脉冲产生装置。该装置利用一个高压脉冲变压器对并联的多根脉冲形成线谐振充电,每根脉冲形成线用一个磁开关作为它的脉冲形成开关,通过调整每个磁开关的伏 秒数并使其一致,从而获得同步输出的多路高压脉冲,整个系统的重复频率则由调控氢闸流管来控制。该装置具有kHz重复频率、同步精度小于2ns。     

高精度多路脉冲延时技术

针对全固态直线变压器驱动源(LTD)中大规模开关同步触发的需求,设计了一款基于ZYNQ-7000 SoC平台的全数字多路脉冲延时系统。介绍了该系统各功能模块,并重点从时间数字转换器(TDC)、多路脉冲输出及ARM核控制三个模块进行分析设计。详细阐述了TDC模块抽头延时法原理及高精度进位链的构造;采用粗延时和细延时结合设计多路脉冲输出模块,有效提高信号的延时精度和范围,且模块化设计提高了通道数目的可扩展性;阐述ARM核控制流程,实现了响应快、稳定性高的控制。最后对系统进行了仿真验证,固化后在器件上进行了实测。实验结果表明,系统能够对外部触发信号实现多路延时输出,信号脉冲宽度1200 ns,幅值1.8 V,延时步进1 ns,延时调节范围0～4.29 s,输出误差低于1 ns。     

色谱/原子吸收联用系统中卧管式微火焰原子化离子化同步检测器的研究与应用

 介绍了一种新型的卧管式微火焰原子化离子化同步检测器 ,对其结构、工作原理及性能进行了研究。将其应用到色谱 /原子吸收联用系统中 ,实现了有机金属化合物以及与其共存的有机化合物的同步检测。有机金属化合物 (二乙基汞 )的原子吸收信号检出限为 2 5× 10 -11g/s;有机化合物 (苯 )的离子化信号检出限为 1 0× 10 -11g/s。     

火电厂一次风速及煤粉浓度的数据采集系统设计

探讨用于火电厂一次风管道风速及煤粉浓度在线监测系统的高速数据采集方法与相应的实现技术,可为一次风速及煤粉浓度的测量提供可靠的数据。根据要检测的电厂锅炉一次风管道气固两相流的特性,在基于微波法测量一次风速及煤粉浓度方案的基础上,设计了用于一次风速及煤粉浓度检测的数据采集系统。该采集系统使用ST公司的Cortex M4核心的ARM处理器和高精度、双极性、多路同步ADC采集转换器,并使用百兆以太网通信芯片把采集的数据传送到上位机。实现了四路同步数据的采集、传输及存储,经试验验证,能够稳定的进行数据采集。只需对该系统稍加改动,即可实现8通道同步采集。适用于多数数据采集的场合,具有很好的应用前景。     

Predictive control of a chaotic permanent magnet synchronous generator in a wind turbine system

This paper investigates how to address the chaos problem in a permanent magnet synchronous generator(PMSG)in a wind turbine system.Predictive control approach is proposed to suppress chaotic behavior and make operating stable;the advantage of this method is that it can only be applied to one state of the wind turbine system.The use of the genetic algorithms to estimate the optimal parameter values of the wind turbine leads to maximization of the power generation.Moreover,some simulation results are included to visualize the effectiveness and robustness of the proposed method.     

Binding Studies of AICAR and Human Serum Albumin by Spectroscopic,Theoretical, and Computational Methodologies

The interactions of small molecule drugs with plasma serum albumin are important because of the influence of such interactions on the pharmacokinetics of these therapeutic agents. 5-Aminoimidazole-4-carboxamide ribonucleoside (AICAR) is one such drug candidate that has recently gained attention for its promising clinical applications as an anti-cancer agent. This study sheds light upon key aspects of AICAR’s pharmacokinetics, which are not well understood. We performed in-depth experimental and computational binding analyses of AICAR with human serum albumin (HSA) under simulated biochemical conditions, using ligand-dependent fluorescence sensitivity of HSA. This allowed us to characterize the strength and modes of binding, mechanism of fluorescence quenching, validation of FRET, and intermolecular interactions for the AICAR–HSA complexes. We determined that AICAR and HSA form two stable low-energy complexes, leading to conformational changes and quenching of protein fluorescence. Stern–Volmer analysis of the fluorescence data also revealed a collision-independent static mechanism for fluorescence quenching upon formation of the AICAR–HSA complex. Ligand-competitive displacement experiments, using known site-specific ligands for HSA’s binding sites (I, II, and III) suggest that AICAR is capable of binding to both HSA site I (warfarin binding site, subdomain IIA) and site II (flufenamic acid binding site, subdomain IIIA). Computational molecular docking experiments corroborated these site-competitive experiments, revealing key hydrogen bonding interactions involved in stabilization of both AICAR–HSA complexes, reaffirming that AICAR binds to both site I and site II.