断裂参数计算

说明：  通过设置不同的参数，创建小世界网络，用于仿真建模。(This program is to create a small world network for simulation.)

说明：  用牛顿-拉夫逊法进行电力系统潮流分布计算(Calculation of Power Flow Distribution in Power System by Newton-Raphson Method)

大坝变形的精确预测对其安全评价方面发挥着重要作用。为了进一步提高大坝变形预测精度，提出了一种改进的灰狼算法优化支持向量机的预测模型。通过引入非线性收敛因子和采用动态加权策略，提升灰狼算法优化支持向量机惩罚因子和核函数参数的能力，并以优化的参数来建立支持向量机大坝变形预测模型。选取实例数据，在与布谷鸟算法、差分进化算法、粒子群算法、基本灰狼算法优化的支持向量机预测比较中，实验结果表明，改进的灰狼算法对支持向量机参数的优化是有效的，可以提高大坝变形预测精度。(Accurate prediction of dam deformation plays an important role in its safety evaluation. In order to further improve the prediction accuracy of dam deformation, an improved grey Wolf algorithm is proposed to optimize the prediction model of support vector machine. By introducing the nonlinear convergence factor and using the dynamic weighting strategy, the gray wolf algorithm is improved to optimize the capacity of the support vector machine penalty factor and the kernel parameter, and the support vector machine dam deformation prediction model is established with the optimized parameters. The experimental results show that the Improved Grey Wolf algorithm is effective for the optimization of support vector machine parameters, and it can improve the accuracy of the deformation prediction of the dam.)

实现有源电力滤波器的电流跟踪控制，能够代替传统PI控制策略(Active power filter current tracking control can replace the traditional PI control strategy)

说明：  通过EDEM体积力耦合API源程序，实现流体曳力耦合(Through the edem volume force coupling API source code, the fluid drag coupling is realized)

说明：  混合粒子群求解TSP问题，重新定义了离散粒子群算法DPSO的速度和位置公式,使其适宜求解离散问题.针对DPSO易早熟,收敛慢的缺陷,建立局部极小区域的扰动机制,在结合局部搜索算法PSEC后,提出了一种混合离散粒子群算法HDPSO.(Hybrid particle swarm optimization for TSP)

用于SHPB冲击动力学数值仿真的APDL建模后的KEY文件(KEY file after APDL modeling for numerical simulation of SHPB impact dynamics)

说明：  转子系统启动时的瞬态动力学分析，有限元分析(Transient Dynamics Analysis of Rotor System at Start-up)

说明：  通过设置参数构建最近邻耦合网络；计算网络的度分布(This program is to create a NN coupled network and calculate the degree distribution of a network.)

包含一个电机仿真和详细报告。这个系统是以PMSM做为控制对像，以模型参考自适应算法实现PMSM的转子速度与位置的辨识，采用矢量控制，构建出PMSM的无传感器控制系统。(Contains a motor simulation and detailed report. This system uses PMSM as control image, and uses model reference adaptive algorithm to realize the identification of rotor speed and position of PMSM. Vector control is used to construct PMSM sensorless control system.)