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Process control : a practical approach /
This expanded new edition is specifically designed to meet the needs of the process industry, and closes the gap between theory and practice.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex, United Kingdom :
Wiley,
2016.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
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| 100 | 1 | |a King, Myke, |d 1951- |e author. | |
| 245 | 1 | 0 | |a Process control : |b a practical approach / |c Myke King. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Chichester, West Sussex, United Kingdom : |b Wiley, |c 2016. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 505 | 0 | |a Title Page ; Copyright Page; Contents; Preface; About the Author; Chapter 1 Introduction; Chapter 2 Process Dynamics; 2.1 Definition; 2.2 Cascade Control; 2.3 Model Identification; 2.4 Integrating Processes; 2.5 Other Types of Process; 2.6 Robustness; Chapter 3 PID Algorithm; 3.1 Definitions; 3.2 Proportional Action; 3.3 Integral Action; 3.4 Derivative Action; 3.5 Versions of Control Algorithm; 3.6 Interactive PID Controller; 3.7 Proportional-on-PV Controller ; 3.8 Nonstandard Algorithms; 3.9 Tuning; 3.10 Ziegler-Nichols Tuning Method ; 3.11 Cohen-Coon Tuning Method. | |
| 505 | 8 | |a 3.12 Tuning Based on Penalty Functions3.13 Manipulated Variable Overshoot; 3.14 Lambda Tuning Method; 3.15 IMC Tuning Method; 3.16 Choice of Tuning Method; 3.17 Suggested Tuning Method for Self-Regulating Processes ; 3.18 Tuning for Load Changes; 3.19 Tuning for SP Ramps; 3.20 Tuning for Unconstrained MV Overshoot; 3.21 PI Tuning Compared to PID Tuning; 3.22 Tuning for Large Scan Interval; 3.23 Suggested Tuning Method for Integrating Processes; 3.24 Measure of Robustness; 3.25 Implementation of Tuning; 3.26 Tuning Cascades; 3.27 Loop Gain; 3.28 Adaptive Tuning; 3.29 Initialisation. | |
| 505 | 8 | |a 3.30 Anti-Reset Windup 3.31 On-Off Control ; Chapter 4 Level Control; 4.1 Use of Cascade Control; 4.2 Parameters Required for Tuning Calculations; 4.3 Tight Level Control; 4.4 Averaging Level Control; 4.5 Error-Squared Controller ; 4.6 Gap Controller; 4.7 Impact of Noise on Averaging Control; 4.8 Potential Disadvantage of Averaging Level Control; 4.9 General Approach to Tuning; 4.10 Three-Element Level Control ; Chapter 5 Signal Conditioning; 5.1 Instrument Linearisation; 5.2 Process Linearisation; 5.3 Control of pH; 5.4 Constraint Conditioning. | |
| 505 | 8 | |a 5.5 Pressure Compensation of Distillation Tray Temperature5.6 Compensation of Gas Flow Measurement; 5.7 Filtering; 5.8 Exponential Filter; 5.9 Nonlinear Exponential Filter; 5.10 Moving Average Filter; 5.11 Least Squares Filter; 5.12 Tuning the Filter; 5.13 Control Valve Characterisation; 5.14 Equal Percentage Valve; 5.15 Split-Range Valves ; Chapter 6 Feedforward Control; 6.1 Ratio Algorithm; 6.2 Bias Algorithm; 6.3 Deadtime and Lead-Lag Algorithms ; 6.4 Tuning; 6.5 Laplace Derivation of Dynamic Compensation; Chapter 7 Deadtime Compensation; 7.1 Smith Predictor; 7.2 Internal Model Control. | |
| 505 | 8 | |a 7.3 Dahlin AlgorithmChapter 8 Multivariable Control; 8.1 Constraint Control; 8.2 SISO Constraint Control; 8.3 Signal Selectors; 8.4 Relative Gain Analysis; 8.5 Niederlinski Index; 8.6 Condition Number; 8.7 Steady State Decoupling; 8.8 Dynamic Decoupling; 8.9 MPC Principles; 8.10 Parallel Coordinates; 8.11 Enhanced Operator Displays; 8.12 MPC Performance Monitoring; Chapter 9 Inferentials and Analysers; 9.1 Inferential Properties; 9.2 Assessing Accuracy; 9.3 Laboratory Update of Inferential; 9.4 Analyser Update of Inferential; 9.5 Monitoring On-Stream Analysers ; Chapter 10 Combustion Control. | |
| 520 | 3 | |a This expanded new edition is specifically designed to meet the needs of the process industry, and closes the gap between theory and practice. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a Knovel |b ACADEMIC - Process Design, Control & Automation | ||
| 650 | 0 | |a Chemical process control. | |
| 650 | 6 | |a Procédés chimiques |x Contrôle. | |
| 650 | 7 | |a SCIENCE |x Chemistry |x Industrial & Technical. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Chemical & Biochemical. |2 bisacsh | |
| 650 | 7 | |a Chemical process control |2 fast | |
| 758 | |i has work: |a Process control (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFCpPQv9C7d9jGGGCXPHhb |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a King, Myke, 1951- |t Process control. |b Second edition. |d Chichester, West Sussex, United Kingdom : John Wiley & Sons Inc., 2016 |z 9781119157748 |w (DLC) 2015044557 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4524948 |z Texto completo |
| 880 | 8 | |6 505-00/(S |a 12.5 Effect of Process Design -- 12.6 Basic Controls -- 12.7 Pressure Control -- 12.8 Level Control -- 12.9 Tray Temperature Control -- 12.10 Pressure Compensated Temperature -- 12.11 Inferentials -- 12.12 First-Principle Inferentials -- 12.13 Feedforward on Feed Rate -- 12.14 Feed Composition Feedforward -- 12.15 Feed Enthalpy Feedforward -- 12.16 Decoupling -- 12.17 Multivariable Control -- 12.18 On-Stream Analysers -- 12.19 Towers with Sidestreams -- 12.20 Column Optimisation -- 12.21 Optimisation of Column Pressure -- 12.22 Energy/Yield Optimisation -- Chapter 13 APC Project Execution -- 13.1 Benefits Study -- 13.2 Benefit Estimation for Improved Regulatory Control -- 13.3 Benefits of Closed-Loop Real-Time Optimisation -- 13.4 Basic Controls -- 13.5 Basic Control Monitoring -- 13.6 Inferential Properties -- 13.7 Organisation -- 13.8 Vendor Selection -- 13.9 Safety in APC Design -- 13.10 Alarms -- Chapter 14 Statistical Methods -- 14.1 Central Limit Theorem -- 14.2 Generating a Normal Distribution -- 14.3 Quantile Plots -- 14.4 Calculating Standard Deviation -- 14.5 Skewness and Kurtosis -- 14.6 Correlation -- 14.7 Confidence Interval -- 14.8 Westinghouse Electric Company Rules -- 14.9 Gamma Function -- 14.10 Student t Distribution -- 14.11 χ2 Distribution -- 14.12 F Distribution -- 14.13 Akaike Information Criterion -- 14.14 Adjusted R2 -- 14.15 Levene's Test -- 14.16 Box-Wetz Ratio -- 14.17 Regression Analysis -- 14.18 Outliers -- 14.19 Model Identification -- 14.20 Autocorrelation and Autocovariance -- 14.21 Artificial Neural Networks -- 14.22 Repeatability -- 14.23 Reproducibility -- 14.24 Six-Sigma -- 14.25 Data Reconciliation -- Chapter 15 Mathematical Techniques -- 15.1 Fourier Transform -- 15.2 Recursive Filters -- 15.3 Lagrangian Interpolation -- 15.4 Padé Approximation -- 15.5 Laplace Transform Derivations. | |
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