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LEADER 00000cam a2200949 i 4500
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099 eBook O’Reilly for Public Libraries
100 1 Svrcek, William Y.
245 12 A real time approach to process control /|cWilliam Y.
Svrcek, Donald P. Mahoney, Brent R. Young.|h[O'Reilly
electronic resource]
250 Third edition.
264 1 Chichester, West Sussex, United Kingdom :|bWiley,|c2014.
264 4 |c©2014
300 1 online resource
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
347 data file|2rda
490 0 Engineering professional collection
500 Includes index.
504 Includes bibliographical references and index.
505 0 Machine generated contents note: 1.A Brief History of
Process Control and Process Simulation -- 1.1. Process
Control -- 1.2. Process Simulation -- References -- 2.
Process Control Hardware Fundamentals -- 2.1. Control
System Components -- 2.2. Primary Elements -- 2.2.1.
Pressure Measurement -- 2.2.2. Level Measurement -- 2.2.3.
Temperature Measurement -- 2.2.4. Flow Measurement --
2.2.5. Quality Measurement and Analytical Instrumentation
-- 2.2.6. Application Range and Accuracy of Different
Sensors -- 2.3. Final Control Elements -- 2.3.1. Control
Valves -- References -- 3. Fundamentals of Single-Input/
Single-Output Systems -- 3.1. Open Loop Control -- 3.2.
Disturbances -- 3.3. Feedback Control -- Overview -- 3.4.
Feedback Control -- A Closer Look -- 3.4.1. Positive and
Negative Feedbacks -- 3.4.2. Control Elements -- 3.4.3.
Sensor/Transmitter -- 3.4.4. Processes -- 3.4.5. Final
Control Element -- 3.4.6. Controller -- 3.5. Process
Attributes -- Capacitance and Dead Time -- 3.5.1.
Capacitance -- 3.5.2. Dead Time -- 3.6. Process Dynamic
Response -- 3.7. Process Modelling and Simulation --
3.7.1. First-Order Systems -- 3.7.2. Second-Order and
Higher Order Systems -- 3.7.3. Simple System Analysis --
3.7.4. Classical Modelling for Control Approaches --
3.7.5. The Modern Modelling for Control Approach --
References -- 4. Basic Control Modes -- 4.1. On -- Off
Control -- 4.2. Proportional (P-Only) Control -- 4.3.
Integral (I-Only) Control -- 4.4. Proportional Plus
Integral (PI) Control -- 4.5. Derivative Action -- 4.6.
Proportional Plus Derivative (PD) Controller -- 4.7.
Proportional Integral Derivative (PID) Control -- 4.8.
Digital Electronic Controller Forms -- 4.9. Choosing the
Correct Controller -- 4.10. Controller Hardware --
References -- 5. Tuning Feedback Controllers -- 5.1.
Quality of Control and Optimization -- 5.1.1. Controller
Response -- 5.1.2. Error Performance Criteria -- 5.2.
Tuning Methods -- 5.2.1.̀Trial and Error' Method -- 5.2.2.
Process Reaction Curve Methods -- 5.2.3. Constant Cycling
Methods -- References -- 6. Advanced Topics in Classical
Automatic Control -- 6.1. Cascade Control -- 6.1.1.
Starting up a Cascade System -- 6.2. Feedforward Control -
- 6.3. Ratio Control -- 6.4. Override Control (Auto
Selectors) -- 6.4.1. Protection of Equipment -- 6.4.2.
Auctioneering -- 6.4.3. Redundant Instrumentation --
6.4.4. Artificial Measurements -- 6.5. Split Range Control
-- References -- 7.Common Control Loops -- 7.1. Flow Loops
-- 7.2. Liquid Pressure Loops -- 7.3. Liquid Level Control
-- 7.3.1. Proportional-Only Control for Integrating
Processes -- 7.3.2. PI Controller Tuning for Integrating
Process -- 7.4. Gas Pressure Loops -- 7.5. Temperature
Control Loops -- 7.5.1. The Endothermic Reactor
Temperature Control Loop -- 7.5.2. The Exothermic Reactor
Temperature Control Loop -- 7.6. Pump Control --
7.7.Compressor Control -- 7.7.1. Reciprocating Compressor
Control -- 7.7.2. Centrifugal Compressor Control -- 7.8.
Boiler Control -- 7.8.1.Combustion Control -- 7.8.2. Water
Drum Level Control -- 7.8.3. Water Drum Pressure Control -
- 7.8.4. Steam Temperature Control -- References -- 8.
Distillation Column Control -- 8.1. Basic Terms -- 8.2.
Steady-State and Dynamic Degrees of Freedom -- 8.3.
Control System Objectives and Design Considerations --
8.4. Methodology for Selection of a Controller Structure -
- 8.5. Level, Pressure, Temperature and Composition
Control -- 8.5.1. Level Control -- 8.5.2. Pressure Control
-- 8.5.3. Temperature Control -- 8.5.4.Composition Control
-- 8.6. Optimizing Control -- 8.6.1. Example: Benzene
Column with a Rectifying Section Sidestream -- 8.7.
Distillation Control Scheme Design Using Steady-State
Models -- 8.7.1. Screening Control Strategies via Steady-
State Simulation -- 8.7.2.A Case Study -- The Workshop
Stabilizer -- 8.7.3. Respecifying Simulation
Specifications -- 8.7.4. Mimicking the Behaviour of
Analysers or Lab Analyses -- 8.7.5. Developing an Economic
Profitability Function -- 8.7.6. Evaluating the Candidate
Strategies -- 8.7.7. Evaluating the Candidate Strategies
under Disturbances -- 8.7.8. Evaluating Sensor Strategies
-- 8.7.9. Example Summary -- 8.8. Distillation Control
Scheme Design Using Dynamic Models -- References -- 9.
Using Steady-State Methods in a Multi-loop Control Scheme
-- 9.1. Variable Pairing -- 9.2. The Relative Gain Array -
- 9.2.1. Calculating the RGA with Experiments -- 9.2.2.
Calculating the RGA Using the Steady-State Gain Matrix --
9.2.3. Interpreting the RGA -- 9.3. Niederlinski Index --
9.4. Decoupling Control Loops -- 9.4.1. Singular Value
Decomposition -- 9.5. Tuning the Controllers for Multi-
loop Systems -- 9.6. Practical Examples -- 9.6.1. Example
1: A Two-Stream Mixer -- 9.6.2. Example 2: A Conventional
Distillation Column -- 9.7. Summary -- References -- 10.
Plant-Wide Control -- 10.1. Short-Term versus Long-Term
Control Focus -- 10.2. Cascaded Units -- 10.3. Recycle
Streams -- 10.4. General Considerations for Plant-Wide
Control -- References -- 11. Advanced Process Control --
11.1. Advanced Process Control -- 11.2. Model Predictive
Control -- 11.3. Dynamic Matrix Control -- 11.4. General
Considerations for Model Predictive Control Implementation
-- References.
520 "With resources at a premium, and ecological concerns
paramount, the need for clean, efficient and low-cost
processes is one of the most critical challenges facing
chemical engineers. The ability to control these processes,
optimizing one, two or several variables has the potential
to make more substantial savings in time, money and
resources than any other single factor. Building on the
success of the previous editions, this new third edition
of A Real-Time Approach to Process Control employs both
real industry practice and process control education
without the use of complex or highly mathematical
techniques, providing a more practical and applied
approach. Updated throughout, this edition: Includes a
brand new chapter on Model predictive Control (MPC); Now
includes wireless and web-based technologies; Covers bio-
related systems; Details the new multivariable control
measure developed by the authors."--|cUnedited summary
from book.
588 0 Print version record and CIP data provided by publisher.
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Process control|xData processing.
650 0 Real-time control.
650 6 Fabrication|xContrôle|xInformatique.
650 6 Commande en temps réel.
650 7 Technology.|2eflch
650 7 Process control|xData processing|2fast
650 7 Real-time control|2fast
650 7 Technology.|2ukslc
650 17 Controlesystemen.|2gtt|0(NL-LeOCL)078475929
650 17 Regeltechniek.|2gtt|0(NL-LeOCL)07864710X
700 1 Mahoney, Donald P.
700 1 Young, Brent R.
776 08 |iPrint version:|aSvrcek, William Y.|tReal time approach
to process control.|bThird edition.|dChichester, West
Sussex, United Kingdom : John Wiley & Sons Inc., 2014
|z9781119993872|w(DLC) 2013030739
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