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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150585
Doc. No : ET22377
Main Entry : ARAVIND SUKUMARAN
Title Proper : NEURAL NETWORK BASED CONTROL STRATEGY FOR THE TWO PHASE REACTOR OF THE TENNESSEE EASTMAN PROCESS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Tennessee Eastman plant-wide control has been an area of intense research andinvestigation over the past several years. The interest in the Tennessee Eastrnan plant-wide control problem can be attributed to the highly non-linear behavior of the plant,which subsequently makes the plant difficult to control. This project attempted to controlthe reactor of the plant using a neural network. The neural network was trained usingunsteady state data obtained fiom an open loop model. The neural network was used bothas a stand-alone feedforward controller and in conjunction with a cascade controller. Theperformances of both these control systems were then compared with a cascade control.-...,..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 : TL45583.pdf
Title and statement of responsibility and : NEURAL NETWORK BASED CONTROL STRATEGY FOR THE TWO PHASE REACTOR OF THE TENNESSEE EASTMAN PROCESS [Thesis]
 
 
 
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