{"product_id":"process-control-a-practical-approach-hardback-9781119157748","title":"Process Control; A Practical Approach (Hardback) 9781119157748","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eProcess Control\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Practical Approach\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMyke King (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119157748, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 1 July 2016\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e624 pages\u003cbr\u003e24.9 x 19.6 x 3.6 cm, 1.474 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eThis expanded new edition is specifically designed to meet the needs of the process industry, and  closes the gap between theory and practice.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eBack-to-basics approach, with a focus on techniques that have an immediate practical application, and heavy maths relegated to the end of the book\u003c\/li\u003e \u003cli\u003eWritten by an experienced practitioner, highly regarded by major corporations, with 25 years of teaching industry courses\u003c\/li\u003e \u003cli\u003eSupports the increasing expectations for Universities to teach more practical process control (supported by IChemE)\u003c\/li\u003e \u003c\/ul\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface x\u003c\/p\u003e \u003cp\u003eAbout the Author xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Process Dynamics 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Definition 3\u003c\/p\u003e \u003cp\u003e2.2 Cascade Control 10\u003c\/p\u003e \u003cp\u003e2.3 Model Identification 12\u003c\/p\u003e \u003cp\u003e2.4 Integrating Processes 26\u003c\/p\u003e \u003cp\u003e2.5 Other Types of Process 29\u003c\/p\u003e \u003cp\u003e2.6 Robustness 31\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. PID Algorithm 35\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Definitions 35\u003c\/p\u003e \u003cp\u003e3.2 Proportional Action 36\u003c\/p\u003e \u003cp\u003e3.3 Integral Action 41\u003c\/p\u003e \u003cp\u003e3.4 Derivative Action 43\u003c\/p\u003e \u003cp\u003e3.5 Versions of Control Algorithm 49\u003c\/p\u003e \u003cp\u003e3.6 Interactive PID Controller 51\u003c\/p\u003e \u003cp\u003e3.7 Proportional‐on‐PV Controller 56\u003c\/p\u003e \u003cp\u003e3.8 Nonstandard Algorithms 64\u003c\/p\u003e \u003cp\u003e3.9 Tuning 65\u003c\/p\u003e \u003cp\u003e3.10 Ziegler‐Nichols Tuning Method 66\u003c\/p\u003e \u003cp\u003e3.11 Cohen‐Coon Tuning Method 72\u003c\/p\u003e \u003cp\u003e3.12 Tuning Based on Penalty Functions 73\u003c\/p\u003e \u003cp\u003e3.13 Manipulated Variable Overshoot 77\u003c\/p\u003e \u003cp\u003e3.14 Lambda Tuning Method 80\u003c\/p\u003e \u003cp\u003e3.15 IMC Tuning Method 80\u003c\/p\u003e \u003cp\u003e3.16 Choice of Tuning Method 83\u003c\/p\u003e \u003cp\u003e3.17 Suggested Tuning Method for Self‐Regulating Processes 84\u003c\/p\u003e \u003cp\u003e3.18 Tuning for Load Changes 87\u003c\/p\u003e \u003cp\u003e3.19 Tuning for SP Ramps 89\u003c\/p\u003e \u003cp\u003e3.20 Tuning for Unconstrained MV Overshoot 91\u003c\/p\u003e \u003cp\u003e3.21 PI Tuning Compared to PID Tuning 92\u003c\/p\u003e \u003cp\u003e3.22 Tuning for Large Scan Interval 94\u003c\/p\u003e \u003cp\u003e3.23 Suggested Tuning Method for Integrating Processes 97\u003c\/p\u003e \u003cp\u003e3.24 Measure of Robustness 99\u003c\/p\u003e \u003cp\u003e3.25 Implementation of Tuning 100\u003c\/p\u003e \u003cp\u003e3.26 Tuning Cascades 101\u003c\/p\u003e \u003cp\u003e3.27 Loop Gain 104\u003c\/p\u003e \u003cp\u003e3.28 Adaptive Tuning 105\u003c\/p\u003e \u003cp\u003e3.29 Initialisation 106\u003c\/p\u003e \u003cp\u003e3.30 Anti‐Reset Windup 108\u003c\/p\u003e \u003cp\u003e3.31 On‐Off Control 109\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Level Control 112\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Use of Cascade Control 112\u003c\/p\u003e \u003cp\u003e4.2 Parameters Required for Tuning Calculations 113\u003c\/p\u003e \u003cp\u003e4.3 Tight Level Control 120\u003c\/p\u003e \u003cp\u003e4.4 Averaging Level Control 122\u003c\/p\u003e \u003cp\u003e4.5 Error‐Squared Controller 129\u003c\/p\u003e \u003cp\u003e4.6 Gap Controller 132\u003c\/p\u003e \u003cp\u003e4.7 Impact of Noise on Averaging Control 134\u003c\/p\u003e \u003cp\u003e4.8 Potential Disadvantage of Averaging Level Control 136\u003c\/p\u003e \u003cp\u003e4.9 General Approach to Tuning 137\u003c\/p\u003e \u003cp\u003e4.10 Three‐Element Level Control 139\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Signal Conditioning 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Instrument Linearisation 143\u003c\/p\u003e \u003cp\u003e5.2 Process Linearisation 145\u003c\/p\u003e \u003cp\u003e5.3 Control of pH 147\u003c\/p\u003e \u003cp\u003e5.4 Constraint Conditioning 151\u003c\/p\u003e \u003cp\u003e5.5 Pressure Compensation of Distillation Tray Temperature 153\u003c\/p\u003e \u003cp\u003e5.6 Compensation of Gas Flow Measurement 153\u003c\/p\u003e \u003cp\u003e5.7 Filtering 155\u003c\/p\u003e \u003cp\u003e5.8 Exponential Filter 157\u003c\/p\u003e \u003cp\u003e5.9 Nonlinear Exponential Filter 161\u003c\/p\u003e \u003cp\u003e5.10 Moving Average Filter 161\u003c\/p\u003e \u003cp\u003e5.11 Least Squares Filter 163\u003c\/p\u003e \u003cp\u003e5.12 Tuning the Filter 169\u003c\/p\u003e \u003cp\u003e5.13 Control Valve Characterisation 170\u003c\/p\u003e \u003cp\u003e5.14 Equal Percentage Valve 172\u003c\/p\u003e \u003cp\u003e5.15 Split‐Range Valves 178\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Feedforward Control 184\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Ratio Algorithm 185\u003c\/p\u003e \u003cp\u003e6.2 Bias Algorithm 188\u003c\/p\u003e \u003cp\u003e6.3 Deadtime and Lead‐Lag Algorithms 190\u003c\/p\u003e \u003cp\u003e6.4 Tuning 194\u003c\/p\u003e \u003cp\u003e6.5 Laplace Derivation of Dynamic Compensation 199\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Deadtime Compensation 201\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Smith Predictor 201\u003c\/p\u003e \u003cp\u003e7.2 Internal Model Control 206\u003c\/p\u003e \u003cp\u003e7.3 Dahlin Algorithm 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Multivariable Control 210\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Constraint Control 210\u003c\/p\u003e \u003cp\u003e8.2 SISO Constraint Control 211\u003c\/p\u003e \u003cp\u003e8.3 Signal Selectors 213\u003c\/p\u003e \u003cp\u003e8.4 Relative Gain Analysis 217\u003c\/p\u003e \u003cp\u003e8.5 Niederlinski Index 226\u003c\/p\u003e \u003cp\u003e8.6 Condition Number 227\u003c\/p\u003e \u003cp\u003e8.7 Steady State Decoupling 229\u003c\/p\u003e \u003cp\u003e8.8 Dynamic Decoupling 231\u003c\/p\u003e \u003cp\u003e8.9 MPC Principles 237\u003c\/p\u003e \u003cp\u003e8.10 Parallel Coordinates 239\u003c\/p\u003e \u003cp\u003e8.11 Enhanced Operator Displays 240\u003c\/p\u003e \u003cp\u003e8.12 MPC Performance Monitoring 242\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Inferentials and Analysers 248\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Inferential Properties 248\u003c\/p\u003e \u003cp\u003e9.2 Assessing Accuracy 256\u003c\/p\u003e \u003cp\u003e9.3 Laboratory Update of Inferential 262\u003c\/p\u003e \u003cp\u003e9.4 Analyser Update of Inferential 266\u003c\/p\u003e \u003cp\u003e9.5 Monitoring On‐Stream Analysers 268\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Combustion Control 270\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Fuel Gas Flow Correction 270\u003c\/p\u003e \u003cp\u003e10.2 Measuring NHV 278\u003c\/p\u003e \u003cp\u003e10.3 Dual Firing 280\u003c\/p\u003e \u003cp\u003e10.4 Heater Inlet Temperature Feedforward 281\u003c\/p\u003e \u003cp\u003e10.5 Fuel Pressure Control 284\u003c\/p\u003e \u003cp\u003e10.6 Firebox Pressure 287\u003c\/p\u003e \u003cp\u003e10.7 Combustion Air Control 288\u003c\/p\u003e \u003cp\u003e10.8 Boiler Control 299\u003c\/p\u003e \u003cp\u003e10.9 Fired Heater Pass Balancing 300\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Compressor Control 306\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Polytropic Head 306\u003c\/p\u003e \u003cp\u003e11.2 Load Control (Turbo‐Machines) 310\u003c\/p\u003e \u003cp\u003e11.3 Load Control (Reciprocating Machines) 314\u003c\/p\u003e \u003cp\u003e11.4 Anti‐Surge Control 315\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Distillation Control 322\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Key Components 325\u003c\/p\u003e \u003cp\u003e12.2 Relative Volatility 325\u003c\/p\u003e \u003cp\u003e12.3 McCabe‐Thiele Diagram 328\u003c\/p\u003e \u003cp\u003e12.4 Cut and Separation 333\u003c\/p\u003e \u003cp\u003e12.5 Effect of Process Design 345\u003c\/p\u003e \u003cp\u003e12.6 Basic Controls 350\u003c\/p\u003e \u003cp\u003e12.7 Pressure Control 350\u003c\/p\u003e \u003cp\u003e12.8 Level Control 364\u003c\/p\u003e \u003cp\u003e12.9 Tray Temperature Control 382\u003c\/p\u003e \u003cp\u003e12.10 Pressure Compensated Temperature 393\u003c\/p\u003e \u003cp\u003e12.11 Inferentials 402\u003c\/p\u003e \u003cp\u003e12.12 First‐Principle Inferentials 411\u003c\/p\u003e \u003cp\u003e12.13 Feedforward on Feed Rate 413\u003c\/p\u003e \u003cp\u003e12.14 Feed Composition Feedforward 416\u003c\/p\u003e \u003cp\u003e12.15 Feed Enthalpy Feedforward 418\u003c\/p\u003e \u003cp\u003e12.16 Decoupling 419\u003c\/p\u003e \u003cp\u003e12.17 Multivariable Control 424\u003c\/p\u003e \u003cp\u003e12.18 On‐Stream Analysers 433\u003c\/p\u003e \u003cp\u003e12.19 Towers with Sidestreams 433\u003c\/p\u003e \u003cp\u003e12.20 Column Optimisation 435\u003c\/p\u003e \u003cp\u003e12.21 Optimisation of Column Pressure 438\u003c\/p\u003e \u003cp\u003e12.22 Energy\/Yield Optimisation 441\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. APC Project Execution 444\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Benefits Study 444\u003c\/p\u003e \u003cp\u003e13.2 Benefit Estimation for Improved Regulatory Control 445\u003c\/p\u003e \u003cp\u003e13.3 Benefits of Closed‐Loop Real‐Time Optimisation 455\u003c\/p\u003e \u003cp\u003e13.4 Basic Controls 458\u003c\/p\u003e \u003cp\u003e13.5 Basic Control Monitoring 459\u003c\/p\u003e \u003cp\u003e13.6 Inferential Properties 464\u003c\/p\u003e \u003cp\u003e13.7 Organisation 464\u003c\/p\u003e \u003cp\u003e13.8 Vendor Selection 468\u003c\/p\u003e \u003cp\u003e13.9 Safety in APC Design 471\u003c\/p\u003e \u003cp\u003e13.10 Alarms 471\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Statistical Methods 473\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Central Limit Theorem 473\u003c\/p\u003e \u003cp\u003e14.2 Generating a Normal Distribution 475\u003c\/p\u003e \u003cp\u003e14.3 Quantile Plots 477\u003c\/p\u003e \u003cp\u003e14.4 Calculating Standard Deviation 478\u003c\/p\u003e \u003cp\u003e14.5 Skewness and Kurtosis 480\u003c\/p\u003e \u003cp\u003e14.6 Correlation 480\u003c\/p\u003e \u003cp\u003e14.7 Confidence Interval 481\u003c\/p\u003e \u003cp\u003e14.8 Westinghouse Electric Company Rules 484\u003c\/p\u003e \u003cp\u003e14.9 Gamma Function 485\u003c\/p\u003e \u003cp\u003e14.10 Student t Distribution 486\u003c\/p\u003e \u003cp\u003e14.11 χ2 Distribution 489\u003c\/p\u003e \u003cp\u003e14.12 \u003ci\u003eF\u003c\/i\u003e Distribution 492\u003c\/p\u003e \u003cp\u003e14.13 Akaike Information Criterion 497\u003c\/p\u003e \u003cp\u003e14.14 Adjusted \u003ci\u003eR\u003c\/i\u003e\u003csup\u003e2\u003c\/sup\u003e 499\u003c\/p\u003e \u003cp\u003e14.15 Levene’s Test 500\u003c\/p\u003e \u003cp\u003e14.16 Box‐Wetz Ratio 501\u003c\/p\u003e \u003cp\u003e14.17 Regression Analysis 502\u003c\/p\u003e \u003cp\u003e14.18 Outliers 513\u003c\/p\u003e \u003cp\u003e14.19 Model Identification 514\u003c\/p\u003e \u003cp\u003e14.20 Autocorrelation and Autocovariance 518\u003c\/p\u003e \u003cp\u003e14.21 Artificial Neural Networks 527\u003c\/p\u003e \u003cp\u003e14.22 Repeatability 533\u003c\/p\u003e \u003cp\u003e14.23 Reproducibility 533\u003c\/p\u003e \u003cp\u003e14.24 Six‐Sigma 535\u003c\/p\u003e \u003cp\u003e14.25 Data Reconciliation 535\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Mathematical Techniques 540\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Fourier Transform 540\u003c\/p\u003e \u003cp\u003e15.2 Recursive Filters 548\u003c\/p\u003e \u003cp\u003e15.3 Lagrangian Interpolation 553\u003c\/p\u003e \u003cp\u003e15.4 Padé Approximation 557\u003c\/p\u003e \u003cp\u003e15.5 Laplace Transform Derivations 560\u003c\/p\u003e \u003cp\u003e15.6 Laplace Transforms for Processes 563\u003c\/p\u003e \u003cp\u003e15.7 Laplace Transforms for Controllers 569\u003c\/p\u003e \u003cp\u003e15.8 I‐PD versus PI‐D Algorithm 572\u003c\/p\u003e \u003cp\u003e15.9 Direct Synthesis 573\u003c\/p\u003e \u003cp\u003e15.10 Predicting Filter Attenuation 578\u003c\/p\u003e \u003cp\u003e15.11 Stability Limit for PID Control 579\u003c\/p\u003e \u003cp\u003e15.12 Ziegler‐Nichols Tuning from Process Dynamics 583\u003c\/p\u003e \u003cp\u003e15.13 Partial Fractions 586\u003c\/p\u003e \u003cp\u003e15.14 \u003ci\u003ez\u003c\/i\u003e‐Transforms and Finite Difference Equations 588\u003c\/p\u003e \u003cp\u003eReferences 594\u003c\/p\u003e \u003cp\u003eIndex 596\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Chemistry [\u003ca title=\"See our other books on Chemistry\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Chemistry%20%5BPN%5D%22\"\u003ePN\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52173729661208,"sku":"9781119157748","price":85.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119157748.jpg?v=1781168872","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/process-control-a-practical-approach-hardback-9781119157748","provider":"Freshly Printed Books","version":"1.0","type":"link"}