test

该模型是对50kW、380V、50Hz三相三电平逆变器的两个相同电路进行建模。IGBT逆变器采用SPWM技术，(8kHz载频)将直流电源从a +/-200Vdc源转换为220V AC, 50Hz。逆变器通过75kVA 220/380V变压器输入50kW电阻负载。变频器输出采用L-C滤波器滤除主要产生于8kHz开关频率倍数(Fh=n*8000 +/-k*50Hz)附近的谐波频率Fh。逆变器所需的12个逆变脉冲由PWM发生器块产生。该系统以恒定的调制指标在开环中工作。 电路1使用三电平桥块对逆变器进行建模。电路2使用独立的IGBTs和二极管块。用开/关延时块模拟死区，仅在电路1上应用。(It is easy for us)

Fluent 实现随时间或坐标变化边界条件的方法udf(udfFluent implements the method of changing boundary conditions with time or coordinates UDF)

说明：  采用Python脚本语言二次开发ABAQUS的前处理模块创建了一个带孔平板模型，实现了参数化建模。(Parametrical model using Python in Abaqus.)

节点度是指和该节点相关联的边的条数，又称关联度。 特别地，对于有向图， 节点的入度 是指进入该节点的边的条数; 节点的出度是指从该节点出发的边的条数。(Node degree refers to the number of edges associated with the node, also known as the degree of association. In particular, for a directed graph, The ingress of a node is the number of edges entering the node; The out-degree of a node is the number of edges that start from that node.)

魔术公式轮胎模型，纵向力，可调整轮胎侧偏刚度和纵向刚度等参数。(magic tire model. matlab/simulink m. longitudinal model. magic tire model. matlab/simulink m. longitudinal model)

利用D-S证据推理数据融合算法实现目标识别(Target Recognition Using D-S Evidence Reasoning Data Fusion Algorithm)

说明：  对事件触发控制进行仿真，并使其最终结果达到稳定(The event trigger control is simulated and the final result is stable)

微电网 的仿真模型，包含了光伏，蓄电池等模块，能很好地仿真出各个模块的特性(The simulation model of the microgrid contains modules such as photovoltaics and batteries, which can simulate the characteristics of each module well.)

利用VORONOI算法在PYTHON中的多晶材料建模(Modeling of Polycrystalline Materials in PYTHON Using VORONOI Algorithms)

说明：  自组织映射神经网络，直接就可以流畅的运行出仿真效果图处理。(The self-organizing mapping neural network can directly run smoothly to process the simulation renderings.)