Neural Network Based Control of Integrated Recycle Heat Exchanger Superheaters in Circulating ...

Neural Network Based Control of Integrated Recycle Heat Exchanger Superheaters in Circulating ...

126 Pages · 2016 · 2.07 MB · English

Chapter 1 : Introduction to the Circulating Fluidized Bed (CFB) Boiler . 2.2 Neural Network Model Predictive Control Structure . This Thesis will provide a solution to the current intrex control problems using a multiple input 

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UNF Di git al C omm ons UNF Gr adua te The se s a nd Di sse rta tion s S tude nt S cho la rship 2013 N eur al N etwor k Based C ontrol of I nteg ra ted R ec ycle H eat E xch an ge r S up erhe ate rs in C ircul atin g F luidi zed B ed Boilers D av id D Biruk U niv er sit y of N orth F lorid a Thi s M aste r's The sis i s br ought to y ou for f re e a nd ope n acce ss b y the S tude nt S cho la rship a t UNF Di git al C ommon s I t h as be en a cce pt ed for inclusion in UNF Gr adua te The se s a nd Di sse rta tion s by a n a uthor iz e d a dmini str ator of UNF Di git al C ommon s F or mor e information, p leas e c on ta ct Di git al P roj ects © 2013 A ll R igh ts R ese rv ed S u gg este d C itation B ir uk , D av id D , "Neur al N etw ork B ased C ontrol of I nte gr ate d R ec ycle H eat E xch an ger S upe rhe ate rs in C ircul atin g Fluid iz e d Be d Bo ile rs " (2013) UN F Gr ad uate Th ese s a nd Disser ta tio ns 470 h tt ps://d ig it alc ommon sunf e du/e td/470 NEURAL NETWORK BASED CONTROL OF INTEGRATED RECYCLE HEAT EXCHANGER SUPERHEATERS IN CIRCULATING FLUIDIZED BED BOILERS by David D Biruk A thesis submitted to School of Engineering in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering UNIVERSITY OF NORTH FLORIDA COLLEGE OF COMPUTING, ENGINEERING AND CONSTRUCTION November 2013 The thesis of David Biruk is approved: (Date) _______________________________________ ______ ______________ Dr Chiu Choi _______________________________________ ______ ______________ Dr Daniel Cox _______________________________________ ______ ______________ Dr O Patrick Kreidl Accepted for the School of Engineering _______________________________________ ______ ______________ Dr Murat Tiryakioglu Director of the School of Engineering Accepted for the College of Computing, Engineering and Construction _______________________________________ ______ ______________ Dr Mark A Tumeo Dean of the College of Computing, Engineering and Construction Accepted for the University _______________________________________ ___ ___ ______________ Dr Len Roberson Dean of the Graduate School iii CONTENTS LIST OF FIGURES vi LIST OF TABLES ix ABSTRACT x Chapter 1 : Introduction to the Circulating Fluidized Bed (CFB) Boiler 1 11 CFB Background 1 12 CFB Steam generation and superheat 2 13 CFB Hot Loop 3 14 Current Intrex Control configuration 4 15 Organization of Thesis 6 Chapter 2 : Overview of the Neural Network Model Predictive Controller 9 21 System Considerations for Neural Network Model Predictive Controllers 9 22 Neural N etwork Model Predictive Control Structure 11 Chapter 3 : Data Collection and Pre Processing 13 31 Data Point Selection 13 32 Dataset Reduction by Stepwise Regression 17 33 Data normalization 20 Chapter 4 : Neural Network Modeling 23 41 Neural Network Model

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