power_svpwm

Convert SRH model outputs into an SMS

二维边界元Matlab程序 附初始条件 运行结果 (2D Matlab BEM program)

自适应算法是一种新的算法，本程序提供了该算法去噪功能，用处广泛。(reducing the noise using the self-adaptation)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

duffing方程的混沌判别中使用到了庞加莱截面，即多维相空间中适当选取一截面 ，此截面不与轨线相切，不包含轨线，且便于观察系统的运动特征变化.(use Poincare chaotic duffing equation discriminant, multi-dimensional phase space appropriate to select a cross-section, this section is not tangent to the trajectory does not contain the rail line, and easy motion characteristics of the observed system changes.)

压缩空气驱动发动机的稳态运转模型，通过添加示波器可以再运行后观察发动机多种状态参数曲线。(Compressed air-driven model of the steady-state operation of the engine, is observed by adding oscilloscope can then run the engine multiple states parametric curves.)

自己搭建的matlab/simulink风电并网仿真系统，可以运行(Build their own matlab/simulink wind power simulation system that can run)

上传的代码是 matlab宝典的代码 相信对于开发的人员是有帮助的(From the code book is the matlab code and I believe that the development of the staff was helpful)

说明：  垂直阵和单点两种辐射噪声测量法的误差比较，吴国清的论文(Two vertical array and a single point of error radiated noise measurements compared to Wu Guoqing papers)

此MATLAB文件专门用于求某个顶点到其他顶点的最短距离(This MATLAB file dedicated to seeking the shortest distance of a vertex to other vertices)