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于 2021-03-22 发布文件大小:43KB

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模型预测控制算法由于采用了多步预测、滚动优化和反馈校正等控制策略，因而具有控制效果好、鲁棒性强、对模型精确性要求不高的优点。希望对相关人有帮助(Model predictive control algorithm using a multi-step prediction , rolling optimization and feedback correction, control strategies, and thus has good control effect , the robustness of the model accuracy and less demanding . Related people)

文件列表：

实例4.8.2
.........\fuz201.fis,2098,2008-08-30
.........\fuz201.mdl,38903,2009-02-26
.........\fuz201说明.txt,99,2009-02-25
.........\untitled.mat,106200,2009-02-25

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xiaobosuanfa
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) )

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