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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150874
Doc. No : ET22666
Main Entry : CARLOS DAVID MARTINEZ
Title Proper : AUTOMATIC CONTROL OF pH USING AN ARTIFICIAL INTELLIGENCE APPROACH
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The control of pH has been widely studied over the last several years due to thenonlinear behavior of the pH system and because it is difficult to control. In this workconventional control and Anificial Neural Networks were used in an experimental studyin order to control the pH of an acidic waste water neutrdization process. The neuralnetworks were used as a feedforward controller while a PI controller was used as afeedback controller. The neural network feedforward controller consisted of twobackpropagation neural networks. One network was trained to model the pH process andto predict the reactor pH based on the disturbances. The other network was an inversemodel of the pH process. which used the pH prediction to calculate the base flow ratenecessary to keep the system at steady state. This control system was compared totraditional feedfoward control. Also. the effect of a buffer solution on the pH processand the control system was studied. The addition of the feedforward controller to theloop improved significantly the performance of the control system; however, thetraditional feedforward controller performed better than the neural network controller.Despite this, it can be said that there....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL45892.pdf
Title and statement of responsibility and : AUTOMATIC CONTROL OF pH USING AN ARTIFICIAL INTELLIGENCE APPROACH [Thesis]
 
 
 
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