Computer Control of Processes

Most texts covering computer process control present either controller design methods or details on computer hardwares. Computer Control Processes covers the essentials of both of these aspects so that they may be covered in a single semester course. It covers computer networking, topology, communication protocol, DCS, and also includes newer topics such as PLCs, smart sensors and fieldbus, identification and design of nonlinear controllers, and fuzzy logic controllers.

Organized into two sections, Part One provides details on computers, interfacing aspects, networking of computers, smart sensors and fieldbuses, and programmable logic controllers. Part Two covers identification of linear models, nonlinear models and design controllers for linear and nonlinear discrete systems. The comprehensive and concise nature to this reference make it appropriate as a textbook for elective courses in "computer process control" for graduate students in chemical, mechanical, and instrumentation and control engineering disciplines.

COMPUTERS AND INTERFACING
INTRODUCTION TO COMPUTERS
Personal Computer
Operating System
Communication with External Devices
Timing Circuits
Parallel I/O Ports
Serial I/O Port
Plug-in-slots
PCI Bus
Family of PCs
Operators Interface
Computer Languages
COMPUTER INTERFACING FOR DATA ACQUISITION AND CONTROL
Signals
Interfacing Input Signals
Digital Signal Conditioning
Output System with Continuous Actuators
Cabling
Digital to Analog Converter
Analog to Digital Converter
DATA ACQUISITION AND CONTROL BY USING STANDARD ADD-ON CARDS
Plug-In-Cards
Input/Output Devices
Software
From Transducer to Control Room
Low Cost Multi-Functional DA and C Card
IEEE-4888 GPIB
Standard Add-On-Cards
Backplane Bus
Micro Controllers
DISTRIBUTED DIGITAL CONTROL SYSTEMS
Evolution of Digital Controllers
Advantages of Digital Computer Control
Process Control Requirements of Computers
Computer Network
Selection of a Suitable DICS
Interconnection of Networks
Communication in Network
Communications in Distributed Control Systems
Logical Topology
Ethernet Card
Example of a Distributed Controller
Selection of Operator Interface
ERP and Process Control
EXAMPLES OF EXPERIMENTAL COMPUTER CONTROL OF PROCESSES
Computer Control of Liquid Level System
Computer Control of a heat exchanger
Trajectory Tracking of an Optimizing Path in a Reactor Batch
On-line Optimizing Control of a Distillation Column
SMART SENSORS AND FIELDBUS
Smart Sensors
Smart Differential Pressure Transmitter
Smart Temperature Transmitter
Smart Positioner for Control Valves
Advantages of Smart Sensors
Fieldbus Systems
HART Protocol
Device Description Language (DDL)
Topology of Fieldbus
Industrial Fieldbuses
OLE for Process Control (OPC)
PROGRAMMABLE LOGIC CONTROLLERS (PLCS)
Sequential Control
Programmable Controllers
Advantages of PLCs
Basic Structure of PLC
Basic Instruction and Execution
Programming a PLC
Advantages of a Smart, Handheld Programming Terminal (HHT of HHP)
Input/Output Modules
Ladder Diagram
Relay Logic
Example 1
Example 2
Boolean Programming
Example 3
Connecting a Personal Computer Serially to a PLC
DESIGN OF CONTROLLERS
DISCRETE TIME SYSTEMS AND CONTROL
Computer Control Loop
Discrete Time Systems
Z-Transform and Inverse Z-Transform
Transfer Functions
Zero-Order Hold Equivalence
Study of the First Order System with Time Delay
Some General Properties
Converting Continuous Time Controllers to Discrete Time Domain
Design of Controllers Based on Discrete Time Model
DESIGN OF FEEDFORWARD CONTROLLERS
Block Gigram
Feed Forward Control (FFC) Algorith
Feed Forward Controllers For Servo Response
MODEL IDENTIFICATION
Modelling and Identification
System Identification
Interpretation of Noise source
Equation Error Model
ARMAX Model Structure
Parameter Estimation
Model Structure Selection
Estimation Method
Least Squares Method of Estimating the Model Parameters
Least Square Estimation of ARX Model
Least Square Estimation of weighting Functions
Extended Least Squares Method
Real-time Identification
Modification for Time-varying Parameters
Parameter Tracking and Forgetting Factor
Recursive Algorithm for Extended Least Squares Method
Closed Loop Identification
ADAPTIVE AND PREDICTIVE CONTROL
Adaptive Control
Self-tuning Regulators (STRs)
Model Reference Adaptive Control (MRAC) System
Relationship Between MRAC and STR
Design of Controllers for Deterministic Processes
Model Predictive Control
Details on Model Predictive Control
INTRODUCTION TO NONLINEAR DISCRETE MODELS AND CONTROL
Block Oriented Nonlinear Models
Identification Methods
Design of Controllers
SIMULATION CASE STUDIES ON CONTROLLER DESIGN
Model Identification and Control of Nuclear Reactors
Adaptive IMC of Hammerstein Nonlinear Systems
Nonlinear Self-Tuning Regulator for NARMAX Models
Design of Feedforward Control of Wiener System with Input Multiplicity
FUZZY LOGIC CONTROL
Need for Fuzzy Logic Control
Classification of FLC
Design of Fuzzy Logic Controllers
A Detailed Example
FLC of Semi-Batch Polymerization Reactors
Development of Fuzzy Estimator
Multi-Level Control using Fuzzy Logic
Control of Unstable Bioreactor by Fuzzy Tuned PI Controller
Fuzzy Logic Tuned Set-point Weight PID Controller
INDEX