I cannot generate C code from MATLAB Coder

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SimTec 2020-10-12

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https://ww2.mathworks.cn/matlabcentral/answers/611531-i-cannot-generate-c-code-from-matlab-coder

评论： SimTec 2020-10-21

I would like to generate C code for a PI controller, but whenever I reach this step I cannot continue any longer. I watched a video from MATLAB, but that one has testbench which I do not need here.

%#codegen
function [PIout,yint] = PI_cont(err,ki, kp,yr)
yint=ki*err+yr;  % yint=ki*err/s
PIout=yint+kp*err;

Here, you find how I stored the integral yint into yr

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Andy Bartlett 2020-10-12

编辑：Steven Lord 2020-10-12

在 MATLAB Online 中打开

Code generation needs to know the data types for the arguments.

Option 1

If you already know the desired data types of the inputs you can pass the to codegen via the -args option.

codegen options function -args {func_inputs}

Option 2

If you don't know the data types yet and you want the efficiency benefits of fixed-point math, then the Fixed-Point Converter can help determine desirable type choices. Conversion to fixed-point needs information to make data type scaling decisions. The goal is to prevent overflows and get sufficient precision to achieve the desired behavior. To avoid overflows, there must be information available to determine how big each signal value can get. Fixed-Point Converter always requires some input values to collect ranges against. In additon design ranges can be used to help prevent overflow for the worst-case input combinations.

For your PI controller, to create the test bench needed by Fixed-Point Converter, you could set up a closed loop simulation of this PI controller regulating your plant model.

Tip: For best results with automated Fixed-Point Conversion of MATLAB code, break up your statements so that each line contains only one operation.

%#codegen
function [PIout,yint] = PI_cont(err,ki, kp,yr)
integralProduct = ki * err
integralAccumulation = integralProduct + yr; % can be higher precision
proportionalProduct = kp * err;
combinePI = integralAccumulation + proportionalProduct; % can be higher precision
yint = integralAccumulation;  % downcast to integral state to be stored in memory
PIout = combinePI; % downcast to precision to feed to actuator

This approach gives you more control over the tradeoffs of range, precision, and efficiency of the generated code.

[SL: reformatted the text after Option 2 so it is no longer monospaced.]

SimTec 2020-10-16

Thank you, wait a moment

SimTec 2020-10-21

NOw it is working

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