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How could I connect simulink model to the genetic algorithm toolbox ?

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RAHUL MANKOTIA
RAHUL MANKOTIA 2017 年 6 月 7 日
編集済み: Alberto Mora 2020 年 3 月 13 日
Hi, I am currently working on suspension system optimization via Genetic Algorithm. As the suspension model is in Simulink Interface, I couldn't find a way to connect simulink variables with the Population generated by genetic algorithm toolbox. Kindly help me with this.
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Andrea Valletta
Andrea Valletta 2020 年 1 月 16 日
Is it possible for you to share the solution? I am currently unsuccesful to run the GA algorithm starting from the matlab script. ga function calls the objective function within which the simulink is started, as shown by Sebastian.
Thanks in advance

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回答 (1 件)

Sebastian Castro
Sebastian Castro 2017 年 6 月 7 日
編集済み: Sebastian Castro 2017 年 6 月 7 日
It's all in your cost function. For example:
function cost = costFunction(params)
myValue1 = params(1);
myValue2 = params(2);
% NOTE: This assumes the Simulink model has blocks that
% require variables named 'myValue1' and 'myValue2'
outputs = sim('modelName',<options>);
cost = <some_calculation>(outputs);
end
Hope this helps!
- Sebastian
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Alberto Mora
Alberto Mora 2020 年 3 月 13 日
I did what you suggested but it seems that the function workspace cannot send the updated design variable to the Simulink workspace.
Therefore I solved the problem, as you can see below.
function cost = costFunction(params)
myValue1 = params(1);
myValue2 = params(2);
hws = get_param('modelName','modelworkspace'); % Handle the model's workspace
hws.DataSource = 'MAT-File';
hws.FileName = 'workspace';
hws.assignin('myValue1', myValue1);hws.assignin('myValue2', myValue2);% Send to Simulink the updated variables
% NOTE: This assumes the Simulink model has blocks that
% require variables named 'myValue1' and 'myValue2'
outputs = sim('modelName',<options>);
cost = <some_calculation>(outputs);
end
It works, but I am not sure that it is the most efficient way to overcome the problem. What do you think about that?
Thanks,
Alberto

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