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Design and Control of Steam Flow in Cement Production Process using Neural Network Based Controllers

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Document pages: 9 pages

Abstract: In this paper a NARMA L2, model reference and neural network predictivecontroller is utilized in order to control the output flow rate of the steam infurnace by controlling the steam flow valve. The steam flow control system isbasically a feedback control system which is mostly used in cement productionindustries. The design of the system with the proposed controllers is done withMatlab Simulink toolbox. The system is designed for the actual steam flowoutput to track the desired steam that is given to the system as input for twodesired steam input signals (step and sine wave). In order to analyze theperformance of the system, comparison of the proposed controllers is done bysimulating the system for the two reference signals for the system with andwithout sensor noise disturbance. Finally the comparison results prove theeffectiveness of the presented process control system with model referencecontroller.

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