Lookup tables for ICE data mapping

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gigi
gigi 2019-3-29
评论： Luna 2019-4-3
I'm modeling the control of ICE injection mass flow in the simulink and have a data set which is given in the Pict.1 and in text file. X1 represents u1 , X2 represents u2 and Y represents the output data (table data). I need to import/generate this data into my simulink model.
since there is no option for slicing in lookup table same as the given data set, I clone each X2 column slice value to its corresponding row in order to have same dimension. Then,I'm importing all datas to workspace and calling them into 2D-Lookup table as shown in the Pict.2
what I get is ; "Error occurred while retrieving data, check the selected block's parameter setting. The number of dimensions in the table data is 1 while the number of dimensions specified in the block is 2. They must match."
Can anybody help me to create such mapping in the simulink?
  1 个评论
Rik
Rik 2019-4-1
I barely have any experience with simulink, nor do I have a license for it anymore, so I'm unable to help you.

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Luna
Luna 2019-3-29
编辑：Luna 2019-4-3
What do you mean by slicing? Unfortunetely I can't look at the text file but as far as I understand you have a set of data for each engine rpm right? Why don't you create a 2D map for it with binning your data?
So you will get a matrix and you can use it. (X-Data - engine rpm, Y-Data torque and Z-Data is mass flow) Z is a matrix and your look up table's values must contain this.
2D Lookup table must be a matrix with NxM size. N is number of rpm values, M is number of torque values. For each rpm and torque there should be a mass flow value.
You can make it with meshgrid function.
OK I wrote some code for your problem:
Please carefully read my comments. As I said before 2D Map is something that you should provide to Simulink an Nx1 vector as X-Data, Mx1 vector as Y-Data and NxM matrix for Z-Data.
Here you can create a surface fit below code:
% First you should create engine speeds as follows. For each Engine Speed &
% Torque value pair you should have a corresponding mass flow:
Array = [
1000 37.99 40.021
1000 53.89 42.215
1000 69.84 31.288
1000 85.61 23.101
1000 101.48 16.324
1000 117.37 9.863
1000 133.1 3.985
1000 149.13 1.011
1000 164.74 1.198
1000 171.89 1.877
1250 38.4 41.592
1250 54.22 42.831
1250 70.07 28.767
1250 85.96 23.155
1250 101.71 15.349
1250 117.68 9.255
1250 133.6 5.865
1250 149.56 3.185
1250 165.35 1.327
1250 181.25 0.748
1250 197.1 0.954
1250 213 1.643
1250 221.78 1.494
1500 39.06 51.209
1500 55.11 51.712
1500 70.9 37.636
1500 86.64 28.29
1500 102.56 20.582
1500 118.48 16.481
1500 134.37 12.538
1500 150.26 7.596
1500 166.16 5.224
1500 181.86 3.612
1500 197.81 2.014
1500 213.78 1.12
1500 229.55 0.59
1500 245.6 0.732
1500 261.3 1.132
1500 277.18 1.201
1500 293.17 1.292
1500 308.82 1.207
1500 324.99 1.196
1500 327.08 1.15
1750 40.53 44.075
1750 56.3 38.544
1750 72.29 27.216
1750 88.07 19.197
1750 104.02 13.684
1750 119.85 11.483
1750 135.8 8.885
1750 151.65 7.951
1750 167.51 5.492
1750 183.3 3.555
1750 199.26 3.284
1750 215.02 3.17
1750 231.04 2.808
1750 246.82 1.239
1750 262.81 0.593
1750 278.67 0.632
1750 294.46 0.623
1750 310.39 0.629
1750 326.35 0.628
1750 342.25 0.611
1750 358.1 0.602
1750 373.88 0.614
1750 389.95 0.571
1750 393.08 0.566
2000 42.31 41.252
2000 58.18 35.334
2000 74.09 26.964
2000 89.91 22.084
2000 105.84 18.528
2000 121.68 17.843
2000 137.52 16.29
2000 153.46 15.606
2000 169.39 13.433
2000 185.18 10.441
2000 201.16 7.444
2000 217.02 6.153
2000 232.92 6.462
2000 248.72 3.829
2000 264.57 0.612
2000 280.41 0.583
2000 296.3 0.652
2000 312.08 0.714
2000 328.08 0.72
2000 344.06 0.633
2000 359.84 0.568
2000 375.74 0.54
2000 391.5 0.544
2000 392.33 0.537
2250 44.34 30.37
2250 60.28 29.271
2250 76.15 26.143
2250 92.11 24.353
2250 107.93 21.091
2250 123.92 20.639
2250 139.68 18.97
2250 155.63 19.485
2250 171.56 18.788
2250 187.33 15.256
2250 203.3 12.87
2250 219.13 10.077
2250 234.97 5.91
2250 251.02 1.579
2250 266.89 0.556
2250 282.41 0.544
2250 298.56 0.619
2250 314.34 0.696
2250 330.28 0.629
2250 346.51 0.615
2250 362.13 0.545
2250 377.9 0.521
2250 390.92 0.522
2500 46.83 23.842
2500 63.02 22.133
2500 78.78 20.214
2500 94.65 18.53
2500 110.36 18.284
2500 126.38 18.576
2500 142.34 18.376
2500 158.13 17.96
2500 174.04 17.716
2500 189.8 12.734
2500 205.67 3.909
2500 221.6 2.697
2500 237.56 2.329
2500 253.38 1.429
2500 269.25 0.574
2500 285.14 0.61
2500 300.92 0.647
2500 316.92 0.649
2500 332.78 0.639
2500 348.62 0.65
2500 364.48 0.626
2500 380.37 0.635
2500 390.75 0.634
2500 390.8 0.628
2750 49.86 16.082
2750 65.7 18.974
2750 81.58 18.798
2750 97.4 19.244
2750 113.25 19.278
2750 128.94 18.93
2750 145.12 16.513
2750 160.94 14.929
2750 176.86 13.477
2750 192.73 4.865
2750 208.51 3.177
2750 224.56 2.645
2750 240.33 2.52
2750 256.04 0.563
2750 272.1 0.56
2750 287.85 0.556
2750 303.9 0.635
2750 319.74 0.589
2750 335.54 0.598
2750 351.42 0.604
2750 367.29 0.593
2750 383.16 0.609
2750 391.6 0.548
3000 52.9 1.708
3000 68.78 1.391
3000 84.63 1.195
3000 100.4 1.048
3000 116.33 0.92
3000 132.32 0.846
3000 148.16 0.773
3000 163.92 0.738
3000 179.92 0.712
3000 195.79 0.682
3000 211.67 0.639
3000 227.58 0.593
3000 243.44 0.538
3000 259.25 0.514
3000 275.23 0.484
3000 291.13 0.547
3000 306.97 0.59
3000 322.87 0.591
3000 338.78 0.618
3000 354.65 0.622
3000 370.5 0.597
3000 386.2 0.574
3000 392.04 0.544
3250 56.1 1.555
3250 72.01 1.312
3250 87.89 1.166
3250 103.63 1.01
3250 119.58 0.913
3250 135.57 0.838
3250 151.2 0.755
3250 167.44 0.711
3250 183.07 0.701
3250 198.93 0.65
3250 214.77 0.62
3250 230.78 0.586
3250 246.59 0.544
3250 262.53 0.525
3250 278.47 0.526
3250 294.26 0.547
3250 310.14 0.554
3250 325.9 0.554
3250 341.93 0.563
3250 357.83 0.567
3250 373.75 0.56
3250 383.44 0.555
3500 59.57 1.504
3500 75.25 1.287
3500 91.12 1.119
3500 106.81 0.984
3500 122.95 0.875
3500 138.76 0.805
3500 154.67 0.723
3500 170.48 0.683
3500 186.18 0.662
3500 202.22 0.622
3500 218.19 0.585
3500 234.13 0.564
3500 249.94 0.544
3500 265.88 0.553
3500 281.73 0.605
3500 297.46 0.621
3500 313.47 0.597
3500 329.28 0.594
3500 345.23 0.601
3500 361.11 0.598
3500 364.03 0.603
3750 62.65 1.492
3750 78.6 1.249
3750 94.49 1.081
3750 110.26 0.966
3750 126.16 0.878
3750 142.02 0.817
3750 157.95 0.753
3750 173.9 0.709
3750 189.68 0.681
3750 205.41 0.653
3750 221.47 0.623
3750 237.43 0.598
3750 253.18 0.61
3750 269.13 0.597
3750 285.02 0.61
3750 300.91 0.616
3750 314.27 0.62
3750 332.56 0.625
3750 348.52 0.652
3750 354.73 0.677
4000 66.07 1.456
4000 82.15 1.213
4000 97.56 1.049
4000 113.62 0.931
4000 129.72 0.844
4000 145.38 0.783
4000 161.33 0.757
4000 177.29 0.762
4000 193.26 0.721
4000 209.07 0.685
4000 224.85 0.644
4000 240.85 0.613
4000 256.58 0.608
4000 272.5 0.624
4000 288.41 0.64
4000 304.28 0.656
4000 320.22 0.632
4000 335.95 0.631
4000 340.11 0.612
4500 71.99 1.398
4500 87.97 1.165
4500 103.8 1.012
4500 119.64 0.908
4500 135.37 0.831
4500 151.38 0.752
4500 167.23 0.74
4500 183.19 0.714
4500 199.05 0.745
4500 214.88 0.653
4500 230.77 0.635
4500 246.69 0.598
4500 262.58 0.67
4500 278.45 0.685
4500 294.4 0.718
4500 295 0.717
5000 77.96 1.546
5000 93.72 1.353
5000 109.58 1.232
5000 125.53 1.143
5000 141.33 1.115
5000 157.25 1.088
5000 173.03 1.054
5000 189.02 1.05
5000 204.97 1.011
5000 220.75 0.864
5000 236.72 0.933
5000 252.5 1.033
5000 259.68 0.918
];
% Seperate columns
X2 = Array(:,1); % Engine Speed (rpm)
X1 = Array(:,2); % Torque (Nm)
Y = Array(:,3); % mass flow
% You should fit a surface for above data to use in Simulink.
%2D Lookup Table has X-Axis and Y-Axis and Z-Data (It has to be NxM matrix)
% Surface fit for the data (you can also use curve fittig tool by typing cftool to command window and export your fitted map)
ft = 'lowess';
[fitresult, gof] = fit( [X2, X1], Y, ft, 'Normalize', 'on' ); % fits the surface
SpeedVals = [1000:250:4000 4500 5000]; % Your Engine Speed Values (You can put anything you want here, from now on fitresult will calculate for you the mass flow for each speed-torque pair)
TorqVals = 40:20:400; % Same for SpeedVals
% !!!! You can also use your own X2 and X1 as SpeedVals and TorqueVals.
% In this case you will have 15x295 size Matrix.
mapData = zeros(numel(SpeedVals),numel(TorqVals));
for i = 1:numel(SpeedVals)
for j = 1:numel(TorqVals)
mapData(i,j) = fitresult(SpeedVals(i),TorqVals(j));
end
end
%% Now your Simulink's 2D Lookup Tables one column is SpeedVals(X2), other Column is TorqVals(X1) and the lookup table data is mapData(Y).
%% %%%%% DEMO FOR USING YOUR OWN X2 and X1:
SpeedVals2 = unique(X2);
TorqVals2 = unique(X1);
mapData2 = zeros(numel(SpeedVals2),numel(TorqVals2));
for i = 1:numel(SpeedVals2)
for j = 1:numel(TorqVals2)
mapData2(i,j) = fitresult(SpeedVals2(i),TorqVals2(j));
end
end
% You can see mapData2 is 15x295. So if you feed that to Simulink 2D lookup by using SpeedVals2 and TorqVals2 there won't matrix dimensions error anymore.
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Luna
Luna 2019-4-3
edit note: I realized a mistake in the code inside the for loop and corrected it. Please check again.

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