Publikace: Thermal Process Control Using Neural Model and Genetic Algorithm
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Honc, Daniel
Doležel, Petr
Merta, Jan
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Springer Nature Switzerland AG
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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Klíčová slova
Predictive Controller, Neural Network, Genetic Algorithm, PI controller, thermal process, Prediktivní regulátor, neuronová síť, genetický algoritmus, PI regulátor, tepelný systém