jakesmodel

this is matlab simullink

Direct Torque Control, Induction Motor Vector Control Without an Encoder1

power compensated MODEL IS SHOWEN IN THIS MODEL

采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v ) db10小波进行4层分解 一维小波分解 [c,l] = wavedec(xdata,4, db10 ) 重构第1～4层细节信号 d4 = wrcoef( d ,c,l, db10 ,4) d3 = wrcoef( d ,c,l, db10 ,3) d2 = wrcoef( d ,c,l, db10 ,2) d1 = wrcoef( d ,c,l, db10 ,1) ( Sampling frequency fs = 10000 bearing outer ring fault signal fid = fopen (' bearingout.dat' , ' r' ) failure N = 1024 xdata = fread (fid, N, ' int16' ) fclose (fid ) xdata = (xdata-mean (xdata))/std (xdata, 1) time-domain waveform figure (1) plot (1: N, xdata) xlabel (' Time t/n' ) ylabel ( ' voltage V/v' ) db10 wavelet decomposition 4 layer one-dimensional wavelet decomposition [c, l] = wavedec (xdata, 4, ' db10' ) 1 ~ 4 reconstructed detail signal d4 = wrcoef (' d' , c, l, ' db10' , 4) d3 = wrcoef (' d' , c, l, ' db10' , 3) d2 = wrcoef (' d' , c, l, ' db10' , 2) d1 = wrcoef (' d' , c, l, ' db10' , 1) )

this program helps you to analyse pattern recognition classifiers using imported data

不平衡电网条件下，逆变器根据并网准则的要求，需要不脱网运行，并提供无功支撑。本仿真实现了不平衡条件下的逆变器低穿运行，并实现在故障后快速的功率回复(Under unbalanced grid conditions, the inverter according to the guidelines and requirements of the network, you need not run off the network, and provide reactive support. The Simulation of the inverter under unbalanced conditions, low wear operation, and after the failure to quickly realize the power of reply)

matlabs program for finding PNCC features

matlab simulink buck boost converter

AR_interpolation for interpolate the images, which is recoganized as the best one

说明：  将GPS得到的经纬度，大地坐标，通过高斯投影正算，得到平面直角坐标 文件大小不够，再增加了高斯投影的pdf文档(The longitude, latitude and geodetic coordinates obtained by GPS are corrected by Gauss projection, and the plane rectangular coordinates are obtained.)