Appendix: identification software
Predictive control: modeling - Predictive control : Process Modelling
Article REF: S7424 V1
Appendix: identification software
Predictive control: modeling - Predictive control : Process Modelling

Authors : Jacques RICHALET, Guy LAVIELLE, Joëlle MALLET

Publication date: December 10, 2012 | Lire en français

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8. Appendix: identification software

The industrial user who switches to predictive control first needs to determine the mathematical model of the process he wants to control; he has therefore applied a test protocol and is left with an input/output file. He then looks for software that will enable him to find this model. Here he is given three MATLAB programs. The first builds a sample file of input/output data which, after parallel filtering, is saved for use by the next two identification programs, one performing a local identification using a classical Monte-Carlo method and the other a global identification.

1) Simulation of an object process ("Test" file).

We simulate a classical 1 er order process defined by a gain G, a time constant T and a pure delay R.

On this noisy process with drift, we apply...

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