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Thermal Process Control Using Neural Model and Genetic Algorithm
Soubory tohoto záznamu
Datum publikování:
2019
Typ dokumentu:
ConferenceObject
ISSN:
2194-5357
Zdrojový dokument:
Computational statistics and mathematical modeling methods in intelligent systems : proceedings of 3rd computational methods in systems and software 2019, Vol. 2
Název akce
3rd Computational Methods in Systems and Software, CoMeSySo 2019 (10.09.2019 - 12.09.2019, Zlín)
Abstrakt:Predictive Controller of a laboratory thermal process is presented in the paper. Process model is approximated by a neural network. On-line optimization is done by a genetic algorithm. Control algorithm is tested on the laboratory thermal process and compared to the standard control methods like predictive controller with the transfer and state-space linear model and the quadratic programming optimization method or a PI controller.
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