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Industrial control systems PDF

374 Pages·2011·6.43 MB·English
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75586 Cover 9/21/11 8:53 PM Page 17 5586 Cover 9/21/11 8:53 PM Page 1 C M Y CM MY CY CMY K C M Y CM MY CY CMY K Industrial Engineering Industrial Engineering Badiru Badiru IINNDDUUSSTTRRIIAAIINNLLDDUUSSTTRRIIAALL Ibidapo-Obe Ibidapo-Obe IINNDDUUSSIINNTTRRDDIIAAUULLSSTTRRIIAALL Ayeni Ayeni CCOONNTTRROOLLC C SSOOYYSSNNTTTTEERRMMOOSSLL SSYYSSTTEEMMSS MMaatthheemmaattiiccaall aanndd SSttaattiissttiiMMccaaaall t tMMhheeoommddaaeettlliisscc aaaannll dadan n TTddee ccSShhttaannttiiiiqqsstutuiicceeaassll MMooddeellss aanndd TTeecchhnniiqquueess C IN C IN CCOONNTTCCRROOOONNLL TTRROOLL O O AAddeeddeejjii BB.. BBaaddiirruu •• OOyyee IIbbiiddAAaaddppeeoodd--OOeejjbiib BBee ..•• BB BBaaddaabbiirraauutt uu••nn OOddeeyy eeJJ.. IIAAbbyyiiddeeaannppiioo--OObbee •• BBaabbaattuunnddee JJ.. AAyyeennii D D N N U U Issues such as logistics, the coordinIastsiuoens o sf udcihff earse nlot gteisatmicss,, tahned c aouotrodminaatticion of different teams, and automatic T T SSYYSSTTEEMMSSYYSSSSTTEEMMSS control of machinery become more dcifofincturoltl wohf emna dcehainlienrgy wbietcho lmareg em, coorem dpiflefixcult when dealing with large, complex S S R R projects. Yet all these activities have copmromjecotns .e Yleemt aelnl ttsh easned a ccatniv ibtiee sre hparvees ecnotmedmon elements and can be represented T T O O by mathematics. Linking theory tob pyr amcatitchee,m Inadtiucsst.r Liailn Ckionngt rtohle Soryys tteom psr:actice, Industrial Control Systems: R R Mathematical and Statistical Models anMda Ttheecmhnaitqicuaels a pnrde Ssetanttiss ttihcael mMaotdheelms aatnicda Tlechniques presents the mathematical L I L I foundation for building and implemefonutinndga itniodnu sfotrri abl ucioldnitnrgo la snyds timempsle.menting industrial control systems. A A MMaatthheemmaattiiMMccaaaall t tahahnneedmdmaattiiccaall aanndd S S L L Examining system fundamentals anEdx aamdvinainncge ds ytsotpeimcs f, utnhde abmoeonkt aclosn atanidn sadvanced topics, the book contains Y Y mathematically rigorous models amnda ttheecmhnaitqicuaelsly greignoerroalulys ampopdlieclasb alen dto techniques generally applicable to SSttaattiissttiiccaall MMSSttooaadtdtiiesesttlliissccaall MMooddeellss S S control systems with specific oriecnotnattiroonl stoyswtaermds i nwdiuths tsripael csifyisct eomriesn. tIattion toward industrial systems. It T T provides a generic project scheduplrionvgi dtoeso l at hgaetn ienrcico rpproorjaetcets s rcehseoduurlcineg tool that incorporates resource E E aanndd TTeecchhnniiaaqqnnuuddee ssTTeecchhnniiqquueess characteristics and performance intercdheapraecntdeernisctiiecss aamndo pnegr dfoifrfmeraennct er einstoeurrdceependencies among different resource M M groups and then proceeds to map thger mouopsst aanddeq tuhaetne prreoscoeuerdcse tuon imtsa tpo tehaec mhost adequate resource units to each newly scheduled project activity. Cleanrelwy ldye stacihliendgu cleodn cperpotjse catn adc tsivteitpy-. bCyl-esatrelpy detailing concepts and step-by-step S S procedures, the book covers: procedures, the book covers: M M M M • Scientific uncertainty, fuzziness•, andS acpiepnlticifaicti ounn coefr tsationcthy,a fsutizcz–infuezszsy, and application of stochastic–fuzzy models in urban transit, water resourcmeos,d eenlse irng yu rpblaannn tirnagn,s aitn, dw eadteurc raetsioonurces, energy planning, and education o a o a • The methodical development of• the Tohpeti mmiezathtioodni cparlo dbelevmelo ipnm reelnatti oonf tthoe optimization problem in relation to d th d th applications in applied sciences, froamp pclliacsastiiocanls t einc hanpipqluieeds stchireonucgehs, from classical techniques through e e e e l l stochastic approaches to contemporasrtyo cahnads rteicc eanptp mroeatchhoedss t oof c ionntetlelimgepnotrary and recent methods of intelligent s m s m metaheuristics metaheuristics a a a a • The use of statistical control tec•hniqTuhees ufosre qouf aslittayt iismticparol vceomnteronlt tienc thhneiques for quality improvement in the nd ti nd ti c c manufacturing environment manufacturing environment T a T a • Additional statistical tools for qua•lity aAnddd pitrioocneasl ss tiamtipstriocvael mtoeonlst ,f ionrc qluudailnitgy and process improvement, including e l e l factorial designs, response surface fmacettohroiadlo dloegsyig, ncse,n rteraslp coonmsep osusirtfeace methodology, central composite c a c a designs, and response surface optimdeizsaigtinosn, and response surface optimization h n h n d d n n • How to use a Bayesian techniqu•e foHr opwar atom uesteer ae sBtaimyeastiiaonn technique for parameter estimation i S i S q t q t a a u u An amalgamation of theoretical dAenv ealmopamlgeanmtsa,t ioapnp olife dth feoorrmetuiclaatli odnesv,elopments, applied formulations, t t e i e i implementation processes, and statisitmicapll ecmonetnrtoalt, itohne pbrooocke sinscelsu, daensd e sxtaamtisptilceasl control, the book includes examples s st s st that demonstrate how to use the stthaatits tdiecmal odnesstirgantes htoo wde tvoe luospe fteheed bsatactkistical designs to develop feedback ic ic AAddeeddeejjii BB.. BBaaddAAiidrdruueeddeejjii BB.. BBaaddiirruu controllers and minimum variance conctoronltlreorl ldeerss iagnnds mforin iinmduumstr viaalr aiapnpcliec actoionntrso.ller designs for industrial applications. a a It matches mathematics with practicaIlt ampaptlcichaetsio mnsa,t ghievminagtics with practical applications, giving l l OOyyee IIbbiiddaappoo--OOOObbyyeeee IIbbiiddaappoo--OObbee you the tools to achieve system conytrooul tghoea tlso.ols to achieve system con7tro5l 5go8a6ls. 75586 BBaabbaattuunnddee JJ.. AABByyaaeebbnnaaiittuunnddee JJ.. AAyyeennii 6000 Broken Sound Parkway, NW 6000 Broken Sound Parkway, NW Suite 300, Boca Raton, FL 33487 Suite 300, Boca Raton, FL 33487 711 Third Avenue 711 Third Avenue an informa business New York, NY 10017an informa business New York, NY 10017 2 Park Square, Milton Park 2 Park Square, Milton Park Abingdon, Oxon OX14 4RN, UK Abingdon, Oxon OX14 4RN, UK INDUSTRIAL CONTROL SYSTEMS Mathematical and Statistical Models and Techniques Industrial Innovation Series Series Editor Adedeji B. Badiru Department of Systems and Engineering Management Air Force Institute of Technology (AFIT) – Dayton, Ohio PUBLISHED TITLES Computational Economic Analysis for Engineering and Industry Adedeji B. Badiru & Olufemi A. Omitaomu Conveyors: Applications, Selection, and Integration Patrick M. McGuire Global Engineering: Design, Decision Making, and Communication Carlos Acosta, V. Jorge Leon, Charles Conrad, and Cesar O. Malave Handbook of Industrial Engineering Equations, Formulas, and Calculations Adedeji B. Badiru & Olufemi A. Omitaomu Handbook of Industrial and Systems Engineering Adedeji B. Badiru Handbook of Military Industrial Engineering Adedeji B.Badiru & Marlin U. Thomas Industrial Control Systems: Mathematical and Statistical Models and Techniques Adedeji B. Badiru, Oye Ibidapo-Obe, & Babatunde J. Ayeni Industrial Project Management: Concepts, Tools, and Techniques Adedeji B. Badiru, Abidemi Badiru, and Adetokunboh Badiru Inventory Management: Non-Classical Views Mohamad Y. Jaber Kansei Engineering - 2 volume set • Innovations of Kansei Engineering, Mitsuo Nagamachi & Anitawati Mohd Lokman • Kansei/Affective Engineering, Mitsuo Nagamachi Knowledge Discovery from Sensor Data Auroop R. Ganguly, João Gama, Olufemi A. Omitaomu, Mohamed Medhat Gaber, and Ranga Raju Vatsavai Learning Curves: Theory, Models, and Applications Mohamad Y. Jaber Moving from Project Management to Project Leadership: A Practical Guide to Leading Groups R. Camper Bull Quality Management in Construction Projects Abdul Razzak Rumane Social Responsibility: Failure Mode Effects and Analysis Holly Alison Duckworth & Rosemond Ann Moore STEP Project Management: Guide for Science, Technology, and Engineering Projects Adedeji B. Badiru Systems Thinking: Coping with 21st Century Problems John Turner Boardman & Brian J. Sauser Techonomics: The Theory of Industrial Evolution H. Lee Martin Triple C Model of Project Management: Communication, Cooperation, Coordination Adedeji B. Badiru FORTHCOMING TITLES Essentials of Engineering Leadership and Innovation Pamela McCauley-Bush & Lesia L. Crumpton-Young Modern Construction: Productive and Lean Practices Lincoln Harding Forbes Project Management: Systems, Principles, and Applications Adedeji B. Badiru Statistical Techniques for Project Control Adedeji B. Badiru Technology Transfer and Commercialization of Environmental Remediation Technology Mark N. Goltz INDUSTRIAL CONTROL SYSTEMS Mathematical and Statistical Models and Techniques Adedeji B. Badiru Oye Ibidapo-Obe Babatunde J. Ayeni Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This book’s use or discussion of MAT- LAB® software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB® software. CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2012 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Version Date: 2011909 International Standard Book Number-13: 978-1-4200-7559-5 (eBook - PDF) This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information stor- age or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, please access www.copy- right.com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that pro- vides licenses and registration for a variety of users. For organizations that have been granted a pho- tocopy license by the CCC, a separate system of payment has been arranged. 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Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at http://www.crcpress.com To Iswat, Sola, and Flora, the rocks behind the writing Contents Preface����������������������������������������������������������������������������������������������������������������xv Acknowledgments����������������������������������������������������������������������������������������xvii Authors�������������������������������������������������������������������������������������������������������������xix Chapter 1 Mathematical modeling for product design ..........................1 Introduction��������������������������������������������������������������������������������������������������������1 Literaturereview������������������������������������������������������������������������������������������������3 Memeticalgorithmanditsapplicationtocollaborativedesign������������������5 Proposedframeworkforcollaborativedesign������������������������������������������5 PseudoCode��������������������������������������������������������������������������������������������������6 Parameters�������������������������������������������������������������������������������������������������8 PseudoCodelines������������������������������������������������������������������������������������8 Forearmcrutchdesign���������������������������������������������������������������������������������������9 Aluminumunion������������������������������������������������������������������������������������10 Compositetube���������������������������������������������������������������������������������������10 Designproblemformulation���������������������������������������������������������������������10 Designagentforweightdecision���������������������������������������������������������10 Designagentforstrengthdecision������������������������������������������������������11 Implementation�������������������������������������������������������������������������������������������12 Resultsandanalysis������������������������������������������������������������������������������������14 Conclusion��������������������������������������������������������������������������������������������������������15 References����������������������������������������������������������������������������������������������������������16 Chapter 2 Dynamic fuzzy systems modeling ........................................19 Introduction:Decision support systemsanduncertainties�����������������������19 Decisionsupportsystems��������������������������������������������������������������������������20 Uncertainty���������������������������������������������������������������������������������������������������21 Fuzziness������������������������������������������������������������������������������������������������������22 Fuzzysetspecifications������������������������������������������������������������������������������23 InformationtypeI:Sampleofverysmallsize������������������������������������24 InformationtypeII:Linguisticassessment�����������������������������������������24 ix

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