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Agachi, Paul Serban. Advanced Process Engineering Control [[electronic resource].]: De Gruyter, 2017. — 1 online resource (410 pages). — (De Gruyter Textbook). — <URL:http://elib.fa.ru/ebsco/1458998.pdf>.

Дата создания записи: 27.01.2017

Тематика: Process control.; Systems engineering.; Chemical process control.; Chemical engineering.; SCIENCE / Chemistry / Industrial & Technical; TECHNOLOGY & ENGINEERING / Chemical & Biochemical

Коллекции: EBSCO

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Оглавление

  • Preface
  • Contents
  • Part I: Advanced Process Control
    • 1 Complex and nonconventional control systems
      • 1.1 Cascade control systems
        • 1.1.1 Processes in series
        • 1.1.2 Processes in parallel
      • 1.2 Feedforward control systems
      • 1.3 Ratio control systems
      • 1.4 Inferential control systems
      • 1.5 Selective control systems
      • References
    • 2 Model predictive control
      • 2.1 Introduction
      • 2.2 MPC history
      • 2.3 Basics of MPC control strategy
      • 2.4 Types of MPC process models
        • 2.4.1 Impulse and step response models
        • 2.4.2 State-space models
        • 2.4.3 Time series models
      • 2.5 Predictions for MPC
      • 2.6 Optimization for MPC
      • 2.7 MPC tuning
      • 2.8 MPC stability
      • 2.9 Nonlinear MPC
      • References
    • 3 Fuzzy control
      • 3.1 Introduction
      • 3.2 Fuzzy sets
      • 3.3 Typical membership functions of the fuzzy sets
      • 3.4 Operations with fuzzy sets
      • 3.5 Fuzzy logic
      • References
    • 4 Optimal control systems
      • 4.1 Steady-state optimal control
      • 4.2 Dynamic optimal control of batch processes
      • 4.3 Dynamic optimal control of continuous processes
      • References
    • 5 Multivariable control
      • 5.1 Introduction
      • 5.2 Multiloop control
        • 5.2.1 Interaction among control loops
        • 5.2.2 Pairing the control loops
        • 5.2.3 Tuning the multiloop controllers
        • 5.2.4 Decoupling interaction for multiloop control
      • 5.3 Multivariable centralized control
      • References
    • 6 Plantwide control
      • 6.1 Introduction
      • 6.2 Premises of plantwide control
      • 6.3 Designing the plantwide control strategy
      • References
    • 7 Linear discrete systems and Z transform
      • 7.1 Introduction
      • 7.2 Discrete systems described by input-output relationship
        • 7.2.1 Sampling the continuous signals
        • 7.2.2 Reconstruction of the continuous signals from their discrete values
        • 7.2.3 Analytical description of the discrete systems
        • 7.2.4 Z transform
        • 7.2.5 Z transform of several simple functions
        • 7.2.6 Inverse of the Z transform
        • 7.2.7 Z transfer function
        • 7.2.8 Z transfer function of the sampled system
        • 7.2.9 Z transfer function of the interconnected systems
      • 7.3 Discrete PID controller
      • 7.4 Other forms of the discrete controllers
      • References
  • Part II: Applied Process Engineering Control
    • 8 Reaction unit control
      • 8.1 Introduction
      • 8.2 Basic concepts of ideal continuous and batch units
      • 8.3 Temperature control
        • 8.3.1 Into thermal instability
        • 8.3.2 Out of thermal instability
        • 8.3.3 Temperature control in practice – continuous units
        • 8.3.4 Temperature control in practice – batch units
      • 8.4 Pressure control
      • 8.5 Liquid level control
      • 8.6 pH control
        • 8.6.1 pH and titration curves
        • 8.6.2 pH regulator characteristics
        • 8.6.3 Aspects of pH control in practice
      • 8.7 End-point detection and product-quality control
        • 8.7.1 Some analyzer types
        • 8.7.2 End-point detection reliability issues
      • 8.8 Control structure design for reaction units
        • 8.8.1 Principles of control structure design
        • 8.8.2 Control structure design for homogeneous ideal units
        • 8.8.3 Control structure design for some heterogeneous units
      • References
    • 9 Control of distillation processes
      • 9.1 Economic constraints of distillation
      • 9.2 The recovery factor
      • 9.3 Lowering energy demand of distillation units
      • 9.4 General control of continuous distillation columns
        • 9.4.1 Mass and energy balance imposed control issues
        • 9.4.2 Control solutions
      • 9.5 Control issues of continuous distillation column dynamics
      • 9.6 Control issues of batch distillation columns
      • References
    • 10 Control of absorption processes
      • References
    • 11 Control of extraction processes
      • References
    • 12 Control of evaporation processes
      • References
    • 13 Control of drying processes
      • 13.1 Batch drying control
        • 13.1.1 Conventional batch drying control
        • 13.1.2 Advanced batch drying control
      • 13.2 Continuous adiabatic drying
      • References
    • 14 Control of crystallization processes
      • 14.1 The process of crystallization
      • 14.2 Crystal size distribution control
        • 14.2.1 Model-free crystal size distribution control
        • 14.2.2 Model-based crystal size distribution control
      • References
    • 15 Problems and exercises
      • 15.1 Advanced process control
      • 15.2 Applied process engineering control
  • Index

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