Process Control Fundamentals: Analysis, Design, Assessment, and Diagnosis

ISBN-13: 9780367433420 / Angielski / Twarda / 2020 / 342 str.

Raghunathan Rengaswamy; Babji Srinivasan; Nirav Pravinbhai Bhatt

Opis

This comprehensive textbook covers key aspects including analysis, design, assessment and diagnosis of process control. It will help serve as ideal study material for senior undergraduate and graduate students in the field of chemical engineering for a course on process control.

Spis treści

List of FiguresList of Tables1 Introduction1.1 Single-input-single-output and Multi-input-Multi-output Controllers1.2 Regulator and Servo Control Problems1.3 Dynamic Behaviour of Processes2 Models for Control2.1 Linearization2.2 State-space representation of dynamic models2.3 Transfer function models2.4 Problems and Solutions2.5 Exercises3 Process Identification3.1 Identification of First-order Processes3.2 Identification of Second-order Processes3.3 Identification of First-order with Dead Time3.3.1 Identification of overdamped second-order systems3.4 Problems and Solutions4 Analysis of Transfer Function models4.1 Introduction4.2 Partial Fractions Approach for Solving Transfer Functions4.3 Stability of Transfer function4.4 Problems and Solutions4.5 Exercises5 Controllers and analysis of closed loop transfer functions5.1 PID Controllers5.2 Analysis of Block Diagram5.3 Routh Test5.4 Problems and Solutions5.5 Exercises6 Controller tuning6.1 Stability based on Zeigler Nichols tuning6.2 Tuning based on direct synthesis6.2.1 Inverse response systems6.2.2 Systems with delay element6.2.3 Unstable Systems6.3 Internal Model Control Method6.4 Problems and solutions6.5 Exercises7 Multi-loop and multivariable control7.1 Relative gain array7.2 Cascade control7.3 Static decoupler7.4 Dynamic decoupling7.5 Multivariable PID control7.6 Problems and Solutions8 Model Predictive Control8.1 Introduction to MPC8.1.1 Key aspects of MPC8.2 Development of discrete models8.3 MPC Formulation8.3.1 MPC demonstration through a simple example8.4 Bias removal in MPC8.5 Problems and Solutions9 Fundamentals of controller performance assessment9.1 Performance assessment of control loops9.2 Control loop performance assessment for step type changes in load9.2.1 Model based approach - DS/IMC tuning rule based Indices9.3 Algorithm for development of SIMC based performance indices9.4 Idle index technique for identification of sluggish control loops9.5 Detecting Oscillations9.5.1 Introduction to ACF9.6 Regularity of zero-crossings of the auto-correlation function9.7 Control loop performance assessment based on variability in the process output9.8 Minimum Variance Index9.9 Scaling exponent based measure for controller performance assessment9.9.1 Implications of the scaling exponent to control loop performance assessment9.10 Problems and Solutions10 Fundamentals of controller performance diagnosis10.1 Control Valve and Stiction10.2 Modeling of Stiction10.2.1 One parameter model for valve stiction10.3 Identification of stiction in control valves10.3.1 Shape based formalism for stiction detection10.3.2 Issues in stiction detection10.3.3 Hammerstein model based approach to Stiction detection10.3.4 Least Squares approach for model parameter identification10.4 Oscillations due to improper controller tuning11 Case Studies11.1 Introduction11.2 2x2 Distillation Column11.2.1 RGA Analysis11.2.2 Decoupler11.2.3 PI Controller Tuning11.2.4 Model Predictive Controller11.3 3x3 Distillation Column11.3.1 RGA Analysis11.3.2 Decoupler11.3.3 PID Controller Tuning11.3.4 Model Predictive Controller11.4 CSTR11.4.1 Model Predictive ControllerBibliography