Neural network controller with predictive for production viscoelastic mediums | Mekhanika | kompozitsionnykh | materialov i konstruktsii
> Volume 21 > №1 / 2015 / Pages: 94-105

Neural network controller with predictive for production viscoelastic mediums

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Abstract:

The problem of the use of neural networks in the control system for the production of viscoelastic media is considered. Classical methods of process control are considered. A new approach to the process control of using neural networks is offered. As an example, the problem of control product concentration at the outlet of the catalytic reactor into a two-layer feedforward neural network is solved. Quality criterion of optimal control algorithm with the prediction when the neural network predicts the reaction of the control object at a certain time interval in the future is selected. Graphic errors of training and testing the neural network as model of a catalytic reactor is given. It is concluded that the control system based on a neural network with the prediction algorithm can be used to control the concentration of the product at the outlet of the catalytic reactor.

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