[MATLAB&SIMULINK] 如何提取并处理Simscape Power System 中powergui的谐波分析数据

花了一两个小时研究了一番powergui的fft。在powergui中,FFT Analysis Tool如图所示

开发环境:MATLAB R2015a + Window 10 enterpirse

 那么如果我想提取出Simulink模型中的数据并且做fft处理,得到自己想要的分析图像,应该怎么办呢?

方法一:

其实MATLAB在这个过程中调用了power_fftscope()这个函数。它的函数原型可以在matlab的帮助文档中找到。函数调用的格式如下。

在command窗口里输入如下命令即可设定与调用由FFT Analysis Tool产生的波形数据

>> FFTDATA = power_fftscope(Va)    %实例化对象FFTDATA,它代表Va的fft结构体数据

FFTDATA = 

               time: [457947x1 double]
            signals: [1x1 struct]
          blockName: 'HP/VA'
              input: 1
             signal: 1
          startTime: 'last'
             cycles: 1
        fundamental: 60
       maxFrequency: 1000
    THDmaxFrequency: Inf
            THDbase: 'fund'
                mag: [17x1 double]
              phase: [17x1 double]
               freq: [17x1 double]
                THD: 272.5235
       samplingTime: 4.3673e-06
    samplesPerCycle: 3816
        DCcomponent: 14.5702
     magFundamental: 48.1973

>> FFTDATA.fundamental = 100        %设定基频

FFTDATA = 

               time: [457947x1 double]
            signals: [1x1 struct]
          blockName: 'HP/VA'
              input: 1
             signal: 1
          startTime: 'last'
             cycles: 1
        fundamental: 100
       maxFrequency: 1000
    THDmaxFrequency: Inf
            THDbase: 'fund'
                mag: [17x1 double]
              phase: [17x1 double]
               freq: [17x1 double]
                THD: 272.5235
       samplingTime: 4.3673e-06
    samplesPerCycle: 3816
        DCcomponent: 14.5702
     magFundamental: 48.1973

>> FFTDATA.cycles = 200          %设定周期数

FFTDATA = 

               time: [457947x1 double]
            signals: [1x1 struct]
          blockName: 'HP/VA'
              input: 1
             signal: 1
          startTime: 'last'
             cycles: 200
        fundamental: 100
       maxFrequency: 1000
    THDmaxFrequency: Inf
            THDbase: 'fund'
                mag: [17x1 double]
              phase: [17x1 double]
               freq: [17x1 double]
                THD: 272.5235
       samplingTime: 4.3673e-06
    samplesPerCycle: 3816
        DCcomponent: 14.5702
     magFundamental: 48.1973

>> FFTDATA.maxFrequency = 7900      %设定最高频率

FFTDATA = 

               time: [457947x1 double]
            signals: [1x1 struct]
          blockName: 'HP/VA'
              input: 1
             signal: 1
          startTime: 'last'
             cycles: 200
        fundamental: 100
       maxFrequency: 7900
    THDmaxFrequency: Inf
            THDbase: 'fund'
                mag: [17x1 double]
              phase: [17x1 double]
               freq: [17x1 double]
                THD: 272.5235
       samplingTime: 4.3673e-06
    samplesPerCycle: 3816
        DCcomponent: 14.5702
     magFundamental: 48.1973

>> x = FFTDATA.freq     %获得频率


x =


0
60
120
180
240
300
360
420
480
540
600
660
720
780
840
900
960


>> y = FFTDATA.mag       %获得幅值


y =


14.5702
48.1973
79.0183
18.0582
9.8706
7.3618
5.3919
4.5902
3.5941
3.4998
3.1022
2.7178
2.7215
2.3526
2.3970
2.6270
2.1154



之后通过简单的绘图命令我们就可以绘制出模型的频谱图。

 方法二:

 如果你只是很简单的想修改由FFT Analysis Tool生成的频谱分析图形,不妨试试下面简单的方法。

在command中新建一个figure

>> figure

打开后选择工具下的plot edit

 然后右键粘贴即可。

这样你就可以通过set()来设定figure的参数,改变图形的配置。具体要设定gca句柄。

比如

>> set(gca,'yscale','log') %将y轴转换成对数坐标

 对于gca句柄,在[2]中有较为详尽的命令。

参考:

[1]:http://cn.mathworks.com/help/physmod/sps/powersys/ref/power_fftscope.html;jsessionid=db0b9a8ee73742bf537d1f0a3291?refresh=true#responsive_offcanvas

[2]:http://wenku.baidu.com/link?url=HqIyvz6p9G8IY1Xb01_sXcN_aZjdV8iUk2AuCby1T0WHIKxahcHTPozq2M8UgGqQdjzJElSpfEI2W83EB0gYbRbB3uVGxpJKQjJGJobwR6C

原文地址:https://www.cnblogs.com/caorui/p/5932680.html