Reza Katebi, Michael A Johnson, Jacqueline Wilkie

Control and Instrumentation for Wastewater Treatment Plants (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book describes the state-of-the-art advances in computer-based plant control. The material presented is intended to provide an introductory textbook in control and instrumentation technology for Wastewater Treatment (WWT) Plants. The book is aimed at WWT plant operators, process design and control engineers, works managers and those who are involved in the design, installation, commissioning and operation of WWT plants. The book is also a good reference source for undergraduate and postgraduate students. The book covers control theory, WWT plant modelling and simulation, supervisory control, data management, sensors, virtual instrumentation, expert systems, neural networks and fuzzy logic.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 275
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781447104230
• Artikelnr.: 44000433

Inhaltsangabe

1 Process Modelling and Simulation Methods.- 1.1 Process Review.- 1.2 Modelling Preliminary and Primary Processes.- 1.3 Modelling the Activated Sludge Process.- 1.4 Uses of the Model.- 1.5 Modelling Principles.- 1.6 Conclusions.- 1.7 Further Reading.- 2 Process Control Structures.- 2.1 The Actuator - Plant and - Measurement Sequence.- 2.2 A Unified Actuator - Plant - Measurement Processes.- 2.3 Process Disturbances.- 2.4 Open Loop Control.- 2.5 The Feedback Control Loop.- 2.6 On-Off Control.- 2.7 Three Term Controllers.- 2.8 Cascade Control Loops.- 2.9 Ratio Control.- 2.10 Feedforward Control.- 2.11 Inferential Control.- 2.12 Advanced Control Features: Methods of Controller Adaptation.- 2.13 Conclusions.- 2.14 Further Reading.- 3 Supervisory Control and Data Acquisition Systems and Virtual Instrumentation.- 3.1 Introduction.- 3.2 Economic Benefits.- 3.3 A Classification For Supervisory Control Problems.- 3.4 Technological Background.- 3.5 Distributed Control System Technology.- 3.6 Functionality of the DCS.- 3.7 On Designing Supervisory Control.- 3.8 Virtual Instrumentation (VI) and a Design Exercise.- 3.9 Conclusions.- 3.10 Further Reading.- 4 Quality Control For Dynamic Processes.- 4.1 Introduction.- 4.2 Data Collection and Presentation.- 4.3 Elementary Statistical Measures.- 4.4 Process Variations.- 4.5 Process Control.- 4.6 Assessment of Process Stability.- 4.7 Process Capability Indices.- 4.8 Example.- 4.9 Conclusions.- 4.10 Further Reading.- 5 Sensors and Actuators.- 5.1 Physical Measurement: Level.- 5.2 Physical Measurement: Flow.- 5.3 Flumes.- 5.4 Analytical Measurement: Ion Selective Electrodes.- 5.5 Analytical Measurement: Dissolved Oxygen (DO).- 5.6 Analytical Measurement: Turbidity and Suspended Solids.- 5.7 'Self-Cleaning' Sensors.- 5.8Actuators: Pumps.- 5.9 Conclusions.- 5.10 Further Reading.- 6 Data Communications.- 6.1 Introduction.- 6.2 Dumb Terminals and Smart Sensors.- 6.3 Digital Communication.- 6.4 The ISO 7-Layer Model.- 6.5 Distributed Communication Systems.- 6.6 HART Communication System.- 6.7 Fieldbus.- 6.8 Examples of WWTP Communications.- 6.9 Conclusions.- 6.10 Further Reading.- 7 Knowledge-Based Systems.- 7.1 Expert Systems in Process Control.- 7.2 Modelling of Complex Process Using Neural Nets.- 7.3 Fuzzy Logic Control.- 7.4 Conclusions.- 7.5 References.- 8 Wastewater Treatment Plants: An Exercise.- 8.1 Introduction.- 8.2 Control Systems.- 8.3 Alarms.- 8.4 Data Display.- 8.5 Fault Monitoring.- 8.6 DO Control Using LabVIEW.- 8.7 Further Reading.- Appendix A: Modelling and Control Demonstrations.- Appendix B: Author Profiles.

Rezensionen

From the reviews:

"This book makes a much needed connection between fuzzy control and plants that can readily be modeled as queuing systems ... . The strengths of the book are its systematic approach to structuring control problems and its emphasis on the construction of fuzzy models for various queuing systems. ... the book is unique in linking queuing theory with fuzzy control, making it a valuable reference." (IEEE Control Systems Magazine, June, 2005)

"The book provides a number of results in queuing control from the point of view of fuzzy logic. The authors consider fuzzy control as an effective approach in nonlinear or large-scale systems control ... . The material of the book can be useful to advanced undergraduate and graduate students. Also, researchers and practitioners in the field of queuing control, systems analysis, manufacturing, and communications may benefit from it." (Oleg K. Zakusilo, Zentralblatt MATH, Vol. 1064, 2005)