Neural Network Control of Heat Exchanger Plant
In this paper, a neural network based controller is applied to a heat exchanger pilot plant. The dynamics of the plant is identified using an MLP neural network. Then, the predictive control strategy based on the neural network model of the plant is applied to provide set point tracking of the output of the plant. Also, the performance of the proposed controller is compared with that of Generalized Predictive Control (GPC) through simulation studies. Obtained results demonstrate the effectiveness and superiority of the proposed approach.
KeywordsHeat Exchanger Model Predictive Control Neural Network Control Generalize Predictive Control Control Input Vector
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