Handbook of PI and PID controller tuning rules
The vast majority of automatic controllers used to compensate industrial processes are PI or PID type. This book comprehensively compiles, using a unified notation, tuning rules for these controllers proposed from 1935 to 2008. The tuning rules are carefully categorized and application information a...
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| Format: | eBook Book |
| Language: | English |
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London
World Scientific Publishing Co. Pte. Ltd
2009
World Scientific Imperial College Press World Scientific Publishing Company PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO |
| Edition: | 3rd ed. |
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| ISBN: | 9781848162433, 184816243X, 9781848162426, 1848162421 |
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| Abstract | The vast majority of automatic controllers used to compensate industrial processes are PI or PID type. This book comprehensively compiles, using a unified notation, tuning rules for these controllers proposed from 1935 to 2008. The tuning rules are carefully categorized and application information about each rule is given. The book discusses controller architecture and process modeling issues, as well as the performance and robustness of loops compensated with PI or PID controllers. This unique publication brings together in an easy-to-use format material previously published in a large number of papers and books. |
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| AbstractList | The vast majority of automatic controllers used to compensate industrial processes are PI or PID type. This book comprehensively compiles, using a unified notation, tuning rules for these controllers proposed from 1935 to 2008. The tuning rules are carefully categorized and application information about each rule is given. The book discusses controller architecture and process modeling issues, as well as the performance and robustness of loops compensated with PI or PID controllers. This unique publication brings together in an easy-to-use format material previously published in a large number of papers and books.
This wholly revised Third Edition extends the presentation of PI and PID controller tuning rules, for single variable processes with time delays, to include additional rules compiled since the Second Edition was published in 2006. The vast majority of automatic controllers used to compensate industrial processes are PI or PID type. This book comprehensively compiles, using a unified notation, tuning rules for these controllers proposed from 1935 to 2008. The tuning rules are carefully categorized and application information about each rule is given. The book discusses controller architecture and process modeling issues, as well as the performance and robustness of loops compensated with PI or PID controllers. This unique publication brings together in an easy-to-use format material previously published in a large number of papers and books. The vast majority of automatic controllers used to compensate industrial processes are PI or PID type. This book comprehensively compiles, using a unified notation, tuning rules for these controllers proposed from 1935 to 2008. The tuning rules are carefully categorized and application information about each rule is given. The book discusses controller architecture and process modeling issues, as well as the performance and robustness of loops compensated with PI or PID controllers. This unique publication brings together in an easy-to-use format material previously published in a large number of papers and books.This wholly revised third edition extends the presentation of PI and PID controller tuning rules, for single variable processes with time delays, to include additional rules compiled since the second edition was published in 2006. The vast majority of automatic controllers used to compensate industrial processes are PI or PID type. This book comprehensively compiles, using a unified notation, tuning rules for these controllers proposed from 1935 to 2008. The tuning rules are carefully categorized and application information about each rule is given. The book discusses controller architecture and process modeling issues, as well as the performance and robustness of loops compensated with PI or PID controllers. This unique publication brings together in an easy-to-use format material previously published in a large number of papers and books.This wholly revised third edition extends the presentation of PI and PID controller tuning rules, for single variable processes with time delays, to include additional rules compiled since the second edition was published in 2006.Sample Chapter(s)Chapter 1: Introduction (290 KB)Contents:IntroductionController ArchitectureController Tuning Rules for Self-Regulating Process ModelsController Tuning Rules for Non-Self-Regulating Process ModelsPerformance and Robustness Issues in the Compensation of FOLPD Processes with PI and PID ControllersAppendices:Glossary of Symbols and AbbreviationsSome Further Details on Process ModelingReadership: Control engineering researchers in academia and industry with an interest in PID control and control engineering practitioners using PID controllers. The book also serves as a reference for postgraduate and undergraduate students. |
| Author | O'Dwyer, Aidan |
| Author_xml | – sequence: 1 fullname: AIDAN, O'DWYER |
| BackLink | https://cir.nii.ac.jp/crid/1130282272394375552$$DView record in CiNii |
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| ContentType | eBook Book |
| Copyright | 2009 |
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| DOI | 10.1142/p575 |
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| Discipline | Engineering |
| EISBN | 9781615836628 1615836624 9781848162433 184816243X 9781908978776 1908978775 |
| Edition | 3rd ed. 1 3 |
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| Keywords | Control Systems Applications Handbook PI Control PID Control Tuning Rules Time Delay Processes |
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| Notes | Bibliography: p. 565-597 Previous ed.: 2006 Includes index |
| OCLC | 613682468 |
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| Publisher | World Scientific Publishing Co. Pte. Ltd World Scientific Imperial College Press World Scientific Publishing Company PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO |
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| Snippet | The vast majority of automatic controllers used to compensate industrial processes are PI or PID type. This book comprehensively compiles, using a unified... |
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| SubjectTerms | Artificial Intelligence (Machine Learning, Neural Networks, Fuzzy Logic) Chemical Engineering Electrical & Electronic Engineering (Circuits & Systems, Communications, Control, Computer Engineering) Industrial and Systems Engineering Major Reference Works Mechanical Engineering PID controllers Process Design, Control & Automation Sensors and Instrumentation for Control & Measurement TECHNOLOGY & ENGINEERING |
| SubjectTermsDisplay | PID controllers |
| TableOfContents | Handbook of PI and PID controller tuning rules -- Dedication -- Preface -- Contents -- Chapter 1: Introduction -- Chapter 2: Controller Architecture -- Chapter 3: Controller Tuning Rules for Self-Regulating Process Models -- Chapter 4: Controller Tuning Rules for Non-Self-Regulating Process Models -- Chapter 5: Performance and Robustness Issues in the Compensation of FOLPD Processes with PI and PID Controllers -- Appendix 1: Glossary of Symbols and Abbreviations -- Appendix 2: Some Further Details on Process Modelling -- Bibliography -- Index. Title Page Preface Table of Contents 1. Introduction 2. Controller Architecture 3. Controller Tuning Rules for Self-Regulating Process Models 4. Controller Tuning Rules for Non-Self-Regulating Process Models 5. Performance and Robustness Issues in the Compensation of FOLPD Processes with PI and PID Controllers Appendices Bibliography Index 3.6 SOSPD Model with a Zero -- 3.6.1 Ideal PI controller - Table 28 -- 3.6.2 Ideal PID controller - Table 29 -- 3.6.3 Ideal controller in series with a first order lag - Table 30 -- 3.6.4 Controller with filtered derivative - Table 31 -- 3.6.5 Classical controller - Table 32 -- 3.6.6 Generalised classical controller - Table 33 -- 3.6.7 Two degree of freedom controller 1 - Table 34 -- 3.6.8 Two degree of freedom controller 3 - Table 35 -- 3.7 TOSPD Model -- 3.7.1 Ideal PI controller - Table 36 -- 3.7.2 Ideal PID controller - Table 37 -- 3.7.3 Ideal controller in series with a first order lag - Table 38 -- 3.7.4 Controller with filtered derivative - Table 39 -- 3.7.5 Two degree of freedom controller 1 - Table 40 -- 3.7.6 Two degree of freedom controller 3 - Table 41 -- 3.8 Fifth Order System Plus Delay Model -- 3.8.1 Ideal PID controller - Table 42 -- 3.8.2 Controller with filtered derivative - Table 43 -- 3.8.3 Two degree of freedom controller 1 - Table 44 -- 3.9 General Model -- 3.9.1 Ideal PI controller - Table 45 -- 3.9.2 Ideal PID controller - Table 46 -- 3.9.3 Ideal controller in series with a first order lag - Table 47 -- 3.9.4 Controller with filtered derivative - Table 48 -- 3.9.5 Two degree of freedom controller 1 - Table 49 -- 3.10 Non-Model Specific -- 3.10.1 Ideal PI controller - Table 50 -- 3.10.2 Ideal PID controller - Table 51 -- 3.10.3 Ideal controller in series with a first order lag- Table 52 -- 3.10.4 Controller with filtered derivative - Table 53 -- 3.10.5 Classical controller - Table 54 -- 3.10.6 Generalised classical controller - Table 55 -- 3.10.7 Two degree of freedom controller 1 - Table 56 -- 3.10.8 Two degree of freedom controller 3 - Table 57 -- 4. Controller Tuning Rules for Non-Self-Regulating Process Models -- 4.1 IPD Model -- 4.1.1 Ideal PI controller - Table 58 -- 4.1.2 Ideal PID controller - Table 59 5.5 Design of Tuning Rules to Achieve Constant Gain and Phase Margins, for All Values of Delay -- 5.5.1 PI controller design -- 5.5.1.1 Processes modelled in FOLPD form -- 5.5.1.2 Processes modelled in IPD form -- 5.5.2 PID controller design -- 5.5.2.1 Processes modelled in FOLPD form - classical controller -- 5.5.2.2 Processes modelled in SOSPD form - series controller -- 5.5.2.3 Processes modelled in SOSPD form with a negative zero - classical controller -- 5.5.3 PD controller design -- 5.6 Conclusions -- Appendix 1 Glossary of Symbols and Abbreviations -- Appendix 2 Some Further Details on Process Modelling -- Bibliography -- Index Intro -- Contents -- Preface -- 1. Introduction -- 1.1 Preliminary Remarks -- 1.2 Structure of the Book -- 2. Controller Architecture -- 2.1 Introduction -- 2.2 Comments on the PID Controller Structures -- 2.3 Process Modelling -- 2.3.1 Self-regulating process models -- 2.3.2 Non-self-regulating process models -- 2.4 Organisation of the Tuning Rules -- 3. Controller Tuning Rules for Self-Regulating Process Models -- 3.1 Delay Model -- 3.1.1 Ideal PI controller - Table 2 -- 3.1.2 Ideal PID controller - Table 3 -- 3.1.3 Ideal controller in series with a first order lag - Table 4 -- 3.1.4 Classical controller - Table 5 -- 3.1.5 Generalised classical controller - Table 6 -- 3.1.6 Two degree of freedom controller 1 - Table 7 -- 3.2 Delay Model with a Zero -- 3.2.1 Ideal PI controller - Table 8 -- 3.3 FOLPD Model -- 3.3.1 Ideal PI controller - Table 9 -- 3.3.2 Ideal PID controller - Table 10 -- 3.3.3 Ideal controller in series with a first order lag - Table 11 -- 3.3.4 Controller with filtered derivative - Table 12 -- 3.3.5 Classical controller - Table 13 -- 3.3.6 Generalised classical controller - Table 14 -- 3.3.7 Two degree of freedom controller 1 - Table 15 -- 3.3.8 Two degree of freedom controller 2 - Table 16 -- 3.3.9 Two degree of freedom controller 3 - Table 17 -- 3.4 FOLPD Model with a Zero -- 3.4.1 Ideal PI controller - Table 18 -- 3.4.2 Ideal controller in series with a first order lag - Table 19 -- 3.5 SOSPD Model -- 3.5.1 Ideal PI controller - Table 20 -- 3.5.2 Ideal PID controller - Table 21 -- 3.5.3 Ideal controller in series with a first order lag - Table 22 -- 3.5.4 Controller with filtered derivative - Table 23 -- 3.5.5 Classical controller - Table 24 -- 3.5.6 Generalised classical controller - Table 25 -- 3.5.7 Two degree of freedom controller 1 - Table 26 -- 3.5.8 Two degree of freedom controller 3 - Table 27 4.1.3 Ideal controller in series with a first order lag - Table 60 -- 4.1.4 Controller with filtered derivative - Table 61 -- 4.1.5 Classical controller - Table 62 -- 4.1.6 Generalised classical controller - Table 63 -- 4.1.7 Two degree of freedom controller 1 - Table 64 -- 4.1.8 Two degree of freedom controller 2 - Table 65 -- 4.1.9 Two degree of freedom controller 3 - Table 66 -- 4.2 IPD Model with a Zero -- 4.2.1 Ideal PI controller - Table 67 -- 4.3 FOLIPD Model -- 4.3.1 Ideal PI controller - Table 68 -- 4.3.2 Ideal PID controller - Table 69 -- 4.3.3 Ideal controller in series with a first order lag - Table 70 -- 4.3.4 Controller with filtered derivative - Table 71 -- 4.3.5 Classical controller - Table 72 -- 4.3.6 Generalised classical controller - Table 73 -- 4.3.7 Two degree of freedom controller 1 - Table 74 -- 4.3.8 Two degree of freedom controller 2 - Table 75 -- 4.3.9 Two degree of freedom controller 3 - Table 76 -- 4.4 FOLIPD Model with a Zero -- 4.4.1 Ideal PID controller - Table 77 -- 4.4.2 Ideal controller in series with a first order lag - Table 78 -- 4.4.3 Classical controller - Table 79 -- 4.5 PD I2 Model -- 4.5.1 Ideal PID controller - Table 80 -- 4.5.2 Classical controller - Table 81 -- 4.5.3 Two degree of freedom controller 1 - Table 82 -- 4.5.4 Two degree of freedom controller 2 - Table 83 -- 4.5.5 Two degree of freedom controller 3 - Table 84 -- 4.6 SOSIPD Model -- 4.6.1 Ideal PI controller - Table 85 -- 4.6.2 Two degree of freedom controller 1 - Table 86 -- 4.7 SOSIPD Model with a Zero -- 4.7.1 Classical controller - Table 87 -- 4.8 TOSIPD Model -- 4.8.1 Two degree of freedom controller 1 - Table 88 -- 4.9 General Model with Integrator -- 4.9.1 Ideal PI controller - Table 89 -- 4.9.2 Two degree of freedom controller 1 - Table 90 -- 4.10 Unstable FOLPD Model -- 4.10.1 Ideal PI controller - Table 91 4.10.2 Ideal PID controller - Table 92 -- 4.10.3 Ideal controller in series with a first order lag - Table 93 -- 4.10.4 Classical controller - Table 94 -- 4.10.5 Generalised classical controller - Table 95 -- 4.10.6 Two degree of freedom controller 1 - Table 96 -- 4.10.7 Two degree of freedom controller 2 - Table 97 -- 4.10.8 Two degree of freedom controller 3 - Table 98 -- 4.11 Unstable FOLPD Model with a Zero -- 4.11.1 Ideal PI controller - Table 99 -- 4.11.2 Ideal controller in series with a first order lag - Table 100 -- 4.11.3 Generalised classical controller - Table 101 -- 4.11.4 Two degree of freedom controller 1 - Table 102 -- 4.12 Unstable SOSPD Model (one unstable pole) -- 4.12.1 Ideal PI controller - Table 103 -- 4.12.2 Ideal PID controller - Table 104 -- 4.12.3 Ideal controller in series with a first order lag - Table 105 -- 4.12.4 Classical controller - Table 106 -- 4.12.5 Two degree of freedom controller 1 - Table 107 -- 4.12.6 Two degree of freedom controller 3 - Table 108 -- 4.13 Unstable SOSPD Model (two unstable poles) -- 4.13.1 Ideal PID controller - Table 109 -- 4.13.2 Generalised classical controller - Table 110 -- 4.13.3 Two degree of freedom controller 2 - Table 111 -- 4.14 Unstable SOSPD Model with a Zero -- 4.14.1 Ideal PI controller - Table 112 -- 4.14.2 Ideal controller in series with a first order lag - Table 113 -- 4.14.3 Generalised classical controller - Table 114 -- 4.14.4 Two degree of freedom controller 1 - Table 115 -- 4.14.5 Two degree of freedom controller 3 - Table 116 -- 5. Performance and Robustness Issues in the Compensation of FOLPD Processes with PI and PID Controllers -- 5.1 Introduction -- 5.2 The Analytical Determination of Gain and Phase Margin -- 5.2.1 PI tuning formulae -- 5.2.2 PID tuning formulae -- 5.3 The Analytical Determination of Maximum Sensitivity -- 5.4 Simulation Results |
| Title | Handbook of PI and PID controller tuning rules |
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