NEURAL NETWORK CONTROLLER FOR A CRUDE OIL DISTILLATION COLUMN

The development of neural network that could be used for the control of an industrial process is discussed. Field data from a working distillation column or fractionator of crude oil refinery in Nigeria was used for the development and testing the effectiveness of the controller. The developed controller performed optimally when compared with the installed distributed control system based on proportional integral and derivative algorithm in the company with well over 95% correlation between the expected data and obtained data.

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