Optimal Control of a Heat Exchanger's Temperature by Using of Genetic Algorithm and Artificial Neural Network

Heat exchanger (HE) problems have been one of the interesting fields for researchers in the recent 30 years. Theirs important effects on industrial usage in many serious places such as power plants, refineries and… are deniable. Theirs outputs have direct effect on many devices which are placed after it. Variation of these outputs should always be in a steady range. Disturbances can change HE's outputs so control of the outputs and fixing them in a steady range is a significant task. We present a new method which can be used for all HEs. This method can give the designers the optimal bypass quantities which can control the HEs output in the presence of disturbances. The obtained results by using this method on a HE show that it can restore the output to its primary quantity and also shows the desirable function of our method.

کلیدواژه ها:

Heat exchanger ، Optimal Control ، Genetic Algorithm