Electrical activities of neural systems exposed to sinusoidal induced electric field with random phase

The brain neural system is often disturbed by electromagnetic and noise environments, and research on dynamic response of its interaction has received extensive attention. This paper investigates electrical activity of Morris-Lecar neural systems exposed to sinusoidal induced electric field(IEF) with random phase generated by electromagnetic effect. By introducing a membrane depolarization model under the effect of random IEF, transition state of firing patterns, including mixed-mode oscillations(MMOs) with layered inter-spike intervals(ISI) and intermittency with a power law distribution in probability density function of ISI, is obtained in a single neuron. Considering the synergistic effects of frequency and noise, coherence resonance is performed by phase noise of IEF under certain parameter conditions. For the neural network without any internal coupling, we demonstrate that synchronous oscillations can be induced by IEF coupling, and suppression of synchronous spiking is achieved effectively by phase noise of IEF. Results of the study enrich the dynamical response to electromagnetic induction and provide insights into mechanisms of noise affecting information coding and transmission in neural systems.     

双流低频电磁连铸过程中磁场分布的数值模拟

采用数值模拟的方法研究了双流低频电磁连铸过程中磁场分布规律.建立了单、双流低频电磁连铸中包括铸锭、结晶器、线圈和屏蔽罩的二维轴对称有限元模型.利用ANSYS软件包进行划分网格及计算,模拟出了磁场在连铸结晶器区域的分布.研究了电流频率、电流强度、电流方向和线圈距离对金属熔体内磁感应强度的影响.计算结果表明：单流时,电流频率升高,磁感应强度降低;电流强度增大,磁感应强度升高.双流时,无论电流方向是同向还是反向,同一铸锭的远端磁场强度要大于其近端磁场强度,相邻线圈电流方向为反向时,铸锭内磁场强度高于相邻线圈电流方向为同向的情况;增大线圈之间的距离时,铸锭远端和近端的磁感应强度的差值降低.     

计入尾涡衰减影响的船舶螺旋桨扰动场数值分析

依据库塔条件反映物理真实的基本精神,考虑尾涡强度沿流线衰减,修正了Morino数值库塔条件,建立了考虑泄出自由涡衰减影响的螺旋桨面元计算模型.主要通过数值计算结果说明涡的衰减方式基本满足指数衰减规律.将这种数值库塔条件应用到螺旋桨扰动场的数值分析中,讨论了相关参数的确定原则和具体方法,该计算模型可以较准确地预测船舶螺旋桨扰动场,为理论研究船舶螺旋桨的激振力和噪音、桨舵干扰提供了一个新途径.数值分析结果证明,考虑涡强衰减的螺旋桨面元计算模型是可行的.     

Energy dependence on modes of electric activities of neuron driven by different external mixed signals under electromagnetic induction

Energy supply and release play an important role in individual neuron and neural network. In this paper, the electrical activities and Hamilton energy of neuron are investigated when external mixed signals(i.e., the periodic stimulus current and the periodic electromagnetic field) are imposed on the neuron under the electromagnetic induction. As a result, the Hamilton energy is much dependent on the mode transition, the multiple electric activity modes and the numerical analysis of Hamilton energy are more complicated under various parameters. When the periodic high-low frequency electromagnetic radiation is imposed in neuron, it is found that the electrical activities are more complex, and the changing of energy is obvious. In addition, the response of electrical activity and Hamilton energy is much dependent on the changing of amplitude A, B when the external high-low frequency signal is imposed on the neuron, meanwhile, the energy of bursting state is lower than the one of spiking state. It can be used for investigation about the energy coding in the neuron even the neuron networks.     

基于二次型单神经元PID的HVDC整流控制器设计

针对传统PID控制器存在自适应性差、调节时间长的问题,设计了一种基于二次型性能指标学习算法单神经元自适应PID的HVDC系统定电流整流控制器,控制器算法通过S函数-M语言编程实现,采用12脉冲桥结构的HVDC系统整流侧定电流控制模型在MArrLAB／simulink环境下仿真,仿真结果表明,所设计的整流控制器超调量小、调节时间短、自适应能力好、控制效果良好．     

Synchronization and wave propagation in neuronal network under field coupling

Electric and chemical synapse play important role in connecting neurons and thus signal propagation can be realized between neurons. External electric stimulus can change the excitability of neuron and then the electrical activities can be modulated completely. Continuous fluctuation of ion concentration in cell can induce complex time-varying electromagnetic field during the exchange of charged ions across the membrane of neuron. Polarization and magnetization in the media(and neuron), which exposed to electromagnetic radiation, can modulate the dynamical response and mode transition in electrical activities of neurons. In this paper, magnetic flux is used to describe the effect of electromagnetic field, and the three-variable HindmarshRose neuron model is updated to propose a four-variable neuron model that the effect of electromagnetic induction and radiation can be explained. Based on the physical law of electromagnetic induction, exchange of charged ions and flow of ion currents will change the distribution of electromagnetic filed in cell, and each neuron will be exposed to the superimposed field triggered by other neurons. Therefore, signal exchange could occur even synapse coupling between neurons is removed in the case of field coupling. A chain network is proposed to investigate the signal exchange between neurons under field coupling when synapse coupling is not available. It is found that field coupling between neurons can change the collective behaviors in electrical activities. A statistical factor of synchronization and spatial patterns are calculated, these results confirmed that field coupling is effective for signal communication between neurons. In the end, open problems are suggested for readers' extensive guidance in this field.     

Memristive neuron model with an adapting synapse and its hardware experiments

Electromagnetic induction effect caused by neuron potential can be mimicked using memristor. This paper considers a fluxcontrolled memristor to imitate the electromagnetic induction effect of adapting feedback synapse and presents a memristive neuron model with the adapting synapse. The memristive neuron model is three-dimensional and non-autonomous. It has the time-varying equilibria with multiple stabilities, which results in the global coexistence of multiple firing patterns. Multiple numerical plots are executed to uncover diverse coexisting firing patterns in the memristive neuron model. Particularly, a nonlinear fitting scheme is raised and a fitting activation function circuit is employed to implement the memristive mono-neuron model. Diverse coexisting firing patterns are observed from the hardware experiment circuit and the measured results verify the numerical simulations well.     

感应淬火过程参数优化控制问题的研究

感应加热本身是一个复杂的物理过程，它涉及电、磁、热、相变和力学方面的综合知识。通过对感应淬火过程的分析，给出了感应淬火过程中各参数之间的关系，建立了求解加热电源输出电流、频率以及工件移动速度（加热时间）的数学模型，并给出了其动态求解方法。这些模型可以用于加热电源优化设计和感应淬火过程参数优化控制等。     

板坯行波电磁搅拌器磁场分布规律的实验研究

根据板坯行波电磁搅拌器的特点,在实验室采用三维高斯计对行波磁场电磁搅拌器的磁场变化规律进行了测量,得到大量的实测数据.研究分析表明,对于所研究的行波磁场电磁搅拌器,频率、电流强度以及磁极间距离对磁感应强度影响很大,其中,频率增大,磁感应强度有所降低,电流增大,磁感应强度线性增大,而磁极间的距离对磁感应强度也有明显的影响,这些结果为进一步研究行波磁场电磁搅拌器的变化规律积累了数据.     

城区超高压变电站的环境问题及其对策

城区超高压变电站的环境影响主要是电磁辐射和噪音干扰两方面,阐述了这两方面的危害,分析了其中存在的关键问题,并指出,合理选择电气设备和采取积极有效的布置型式是降低电磁辐射的关键,采用有源噪音控制系统有效降低低频噪音声级是减轻噪音污染的关键．     

逆变器供电对永磁同步电机振动和噪声的影响

为了分析逆变器供电对永磁同步电机（PMSM）电磁振动噪声的影响,建立了一台PMSM多物理场耦合振动分析有限元模型。首先,利用ANSYS建立电机2D电磁模型,通过有限元法分别计算了逆变器和正弦电流供电情况下4 000 r/min电机的磁通密度;然后,应用节点力传递法将电磁力耦合到定子齿上进行谐响应分析,计算电机振动噪声,分析逆变器和正弦电流供电下PMSM电磁振动和噪声频谱特性。     

异步电机定子电流内模自适应控制及实现

针对转子磁场定向下的异步电机定子电压方程中存在着励磁电流和转矩电流分量的交叉耦合,使得转矩电流的调节受到励磁电流的影响,提出了异步电机定子电流的内模自适应控制及其在转子磁场定向矢量控制中的实现方法.根据内模控制(IMC)原理设计异步电机电流调节器,用矩阵奇异值分析了IMC电流调节器的鲁棒性;用最小二乘法对模型参数进行辨识;将其应用于异步电机转子磁场定向的矢量控制中.通过对电流调节器传递矩阵函数的仿真及用DSP实现的异步电机矢量控制,验证了自适应IMC电流调节器的良好性能.     

电磁制动结晶器内电磁参数对钢液流动行为影响数值模拟

采用数值模拟方法研究了电磁参数（上、下磁极间距和线圈电流强度）对结晶器内流场和钢/渣界面波动行为的影响。结果表明,全幅两段式电磁制动结晶器内上部磁极和下部磁极覆盖区域磁感应强度会相互影响,上部（下部）磁极线圈电流强度的增加,会导致对应的下部磁极（上部磁极）覆盖区域内磁感应强度增加;施加全幅两段式电磁制动可以显著抑制结晶器内钢液流速和稳定弯月面波动;当上、下磁极间距增大时,钢液射流对结晶器窄面的冲击强度增大,钢/渣界面处湍动能和钢液流速增大;随着上部磁极线圈电流强度增大,钢液射流对结晶器窄面的冲击强度基本不变,钢/渣界面处钢液流速和湍动能减小;随着下部磁极线圈电流强度增大,钢液射流对结晶器窄面的冲击强度略微减小,钢/渣界面处流速和湍动能减小。     

色噪声作用下耦合神经元网络的相干共振

研究了色噪声作用下耦合(FHN)神经元模型的相干共振现象。运用改进的四阶随机龙格-库塔法,计算了神经元膜电压分布和神经元点火峰峰间隔的变差系数。结果表明,神经元点火峰峰间隔的变差系数是色噪声强度、色噪声相关率和耦合神经元个数的非单调函数;存在最优的色噪声强度、色噪声相关率和耦合神经元个数,使得神经元点火峰峰间隔的变差系数出现极小值(即为相干共振)。讨论了色噪声强度、色噪声相关率和耦合神经元个数对系统相干性的影响。     

基于STM32睡眠质量检测装置的研究

为了更有效的缓解当代人的睡眠质量差,入睡难,失眠的现象。设计一种基于STM32为核心的睡眠质量检测装置。该装置通过液晶触摸屏,实时显示时间及环境的温湿度、噪声、二氧化碳浓度等检测信息,并在液晶屏上显示环境状态,同时能够由用户自主定义并显示想要了解的影响睡眠质量的因素,并与家中的窗帘、空调、音响、冰箱等相关相通讯,进行协同工作营造睡眠环境,尽可能的减少受外界因素的影响。该检测装置设置、操作十分简便。实验验证,装置系统具有良好的稳定性和可靠性,为使用者提供良好的睡眠服务,创造适合环境,保证精力充沛工作及健康生活。     

内模控制在异步电机矢量变频调速中的应用

提出了异步电机电流调节器的内模控制法(IMC)设计,用矩阵奇异值分析了IMC电流调节器的鲁棒性,并将其应用于异步电机转子磁场定向的转差频率矢量控制中。将IMC调节与PI调节的结果作了比较,通过对电流调节器传递矩阵函数的仿真及用DSP实现的异步电机矢量控制运行实验,验证了IMC电流调节器的良好性能。     

温度和噪声暴露对大鼠海马谷氨基酸(Glu)的影响

利用密封舱建立的温度和噪声实验系统对大鼠海马谷氨基酸 (Glu)免疫反应阳性细胞数和光密度进行了实验研究。结果表明 :高温和高强度的噪声是使大鼠海马Glu免疫反应阳性细胞数和反应强度明显增加的主要因素。     

Boost PFC电路辐射EMI分析与抑制研究

功率因数校正(power factor correction,PFC)变换器产生的电磁干扰对集成电路造成了严重影响,能否快速的解决PFC变换器的EMI问题,对设备的安全稳定运行至关重要. 以Boost PFC电路作为研究对象,分析其电路结构并在电路软件中搭建模型,提取电路中噪声源电流,结合辐射噪声计算公式,对电路模型进行场路协同仿真,得到噪声频谱,并在此基础上提出辐射抑制措施.     

Analysis and evaluation of electromagnetic vibration and noise in permanent magnet synchronous motor with rotor step skewing

In this paper, a multi-physics simulation model capable of electromagnetic noise prediction is established, and the effectiveness of the established simulation model in predicting and evaluating electromagnetic noise is verified. Based on the verified motor model, a rotor step skewing model which can affect electromagnetic noise is proposed, and the influence of the skewing angle on electromagnetic noise is investigated in detail. By studying the spectral characteristics of the low-order radial magnetic force which has a great influence on electromagnetic noise, the distribution of electromagnetic noise characteristics of the permanent magnet synchronous motor(PMSM) with or without the rotor step skewing is compared and analyzed. Therefore, it lays a technological foundation for predicting and suppressing the electromagnetic vibration noise of electric vehicle(EV) driving motor in the electromagnetic design.     

Electromagnetic characteristics of cold crucible in an induction coil for melting purpose

Cold crucible induction melting(CCIM)was oncean innovative method for preparing and processing me-tallic or non-metallic materials with either high meltingpoints or with high purity and reactivity[1,2].The meth-od is a complex technology involving many subjects andresearch fields including electricity,magnetism,heat-ing engineering,physical chemistry,and metallur-gy[3].It is of great significance to distinguish the cruci-ble structure and design optimally the field of electro-magnetism inside…