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9780470824115

Process Identification and PID Control

by ; ;
  • ISBN13:

    9780470824115

  • ISBN10:

    0470824115

  • Format: eBook
  • Copyright: 2009-07-01
  • Publisher: Wiley-IEEE Press
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Summary

Process Identification and PID Control enables students and researchers to understand the basic concepts of feedback control, process identification, autotuning as well as design and implement feedback controllers, especially, PID controllers. The first The first two parts introduce the basics of process control and dynamics, analysis tools (Bode plot, Nyquist plot) to characterize the dynamics of the process, PID controllers and tuning, advanced control strategies which have been widely used in industry. Also, simple simulation techniques required for practical controller designs and research on process identification and autotuning are also included. Part 3 provides useful process identification methods in real industry. It includes several important identification algorithms to obtain frequency models or continuous-time/discrete-time transfer function models from the measured process input and output data sets. Part 4 introduces various relay feedback methods to activate the process effectively for process identification and controller autotuning.Combines the basics with recent research, helping novice to understand advanced topics Brings several industrially important topics together: Dynamics Process identification Controller tuning methods Written by

Table of Contents

Preface
Basics of Process Dynamics
Mathematical Representations of Linear Processes
Introduction to Process Control and Identification
Properties of Linear Processes
Laplace Transform
Transfer Function and State-Space Systems
Problems
Simulations
Simulating Processes Composed of Differential Equations
Simulating Processes Including Time Delay
Simulating Closed-Loop Control Systems
Useful Numerical Analysis Methods
Problems
Dynamic Behavior of Linear Processes
Low-Order Plus Time-Delay Processes
Process Reaction Curve Method
Poles and Zeroes
Block Diagram
Frequency Responses
Problems
Process Control
Proportional-Integral-Derivative Control
Structure of Proportional-Integral-Derivative Controllers and Implementation in Computers/Microprocessors
Roles of Three Parts of Proportional-Integral-Derivative Controllers
Integral Windup
Commercial Proportional-Integral-Derivative Controllers
Problems
Proportional-Integral-Derivative Controller Tuning
Trial-and-Error Tuning
Simple Process Identification Methods
Ziegler-Nichols Tuning Rule
Internal Model Control Tuning Rule
Integral of the Time-Weighted Absolute Value of the Error Tunning Rule for a First-Order Plus Time-Delay Model (ITAE-1)
Integral of the Time-Weighted Absolute Value of the Error Tunning Rule for a Second-Order Plus Time-Delay Model (ITAE-2)
Optimal Gain Margin Tuning Rule for an Unstable Second-Order Plus Time-Delay Model (OGM-unstable)
Model Reduction Method for Proportional-Integral-Derivative Controller Tuning
Consideration of Modeling Errors
Concluding Remarks
Problems
Dynamic Behavior of Closed-Loop Control Systems
Closed-Loop Transfer Function and Characteristic Equation
Bode Stability Criterion
Nyquist Stability Criterion
Gain Margin and Phase Margin
Problems
Enhanced Control Strategies
Cascade Control
Time-Delay Compensators
Gain Scheduling
Proportional-Integral-Derivative Control using Internal Feedback Loop
Problems
Process Identification
Process Identification Methods for Frequency Response Models
Fourier Series
Frequency Response Analysis and Autotuning
Describing Function Analysis
Fourier Analysis
Modified Fourier Transform
Frequency Response Analysis with Integrals
Problems
Process Identification Methods for Continuous-Time Differential Equation Models
Identification Methods Using Integral Transforms
Prediction Error Identification Method
Problems
Process Identification Methods for Discrete-Time Difference Equation Models
Prediction Model: Autoregressive Exogenous Input Model and Output Error Model
Prediction Error Identification Method for the Autoregressive Exogenous Input Model
Prediction Error Identification Method for the Output Error Model
Concluding Remarks
Problems
Model Conversion from Discrete-Time to Continuous-Time Linear Models
Transfer Function of Discrete-Time Processes
Frequency Responses of Discrete-Time Processes and Model Conversion
Problems
Process Activation
Relay Feedback Methods
Conventional Relay Feedback Methods
Relay Feedback Method to Reject Static Disturbances
Relay Feedback Method under Nonlinearity and Static Disturbances
Relay Feedback Method for a Large Range of Operation
Problems
Modifications of Relay Feedback Methods
Process Activation Method Using Pulse Signals
Process Activation Method Using Sine Signals
Problems
Appendix Use of Virtual Control System
Setup of the Virtual Control System
Examples
Index
Table of Contents provided by Publisher. All Rights Reserved.

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