Real time control engineering : systems and automation
Author(s)
Bibliographic Information
Real time control engineering : systems and automation
（Studies in systems, decision and control / series editor Janusz Kacprzyk, 65）
Springer, c2016
- : hbk.
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Note
Includes bibliographical references (p. 177-178) and index
Description and Table of Contents
Description
This book covers the two broad areas of the electronics and electrical aspects of control applications, highlighting the many different types of control systems of relevance to real-life control system design. The control techniques presented are state-of-the-art. In the electronics section, readers will find essential information on microprocessor, microcontroller, mechatronics and electronics control. The low-level assembly programming language performs basic input/output control techniques as well as controlling the stepper motor and PWM dc motor.
In the electrical section, the book addresses the complete elevator PLC system design, neural network plant control, load flow analysis, and process control, as well as machine vision topics. Illustrative diagrams, circuits and programming examples and algorithms help to explain the details of the system function design. Readers will find a wealth of computer control and industrial automation practices and applications for modern industries, as well as the educational sector.
Table of Contents
Chapter 1 --- Introduction
1.1 Objectives
1.2 Highlights of the book
1.3 Organisation of the book
Chapter 2 --- Embedded Intruder System
2.1 Requirements & Assumptions
2.2 Hardware Design
2.3 Software Design
2.4 System Program
Chapter 3 --- Mechatronics
3.1 Liquid Level Control
3.2 Oscillating Planar
3.3 Conveyor Inspection Using Shift Registers
3.4 Modern Speed Control
Chapter 4 --- Microcontroller
4.1 Basic I/O Modules
4.2 LCD & Keypad
4.3 Waveform Timings
4.4 Pressure Control
4.5 Temperature Control
4.6 Stepper Motor Control
4.7 Serial Communications
Chapter 5 --- Electronics Control
5.1 D.C Motor Control
5.2 Square Wave Generator
5.3 PID Controller
5.4 Control Of An Electro-Pneumatic Mechanism
Chapter 6 --- Electrical System
6.1 Elevator Control
6.2 Programmable Logic Controller
6.3 Ladder Diagram Control Structure s
6.4 Safety Control Features
Chapter 7 --- Power Flow
7.1 Power System Analysis
7.2 Newton Raphson Formulation
7.3 Load Flow Analysis Using Newton Raphson
Chapter 8 --- Process Control
8.1 Water Tank Control System
8.2 Single Tank Control
Chapter 9 --- Machine Learning
9.1 Neural Network In Process Control
9.2 The Artificial Neurons
9.3 Techniques Involved In The Controllers
9.4 NN Learning Rules
9.5 Selection Of The Learning Algorithms
9.6 The Network Topology
9.7 MLP Backpropagation Network For Process Control
9.8 Neural Network Feedback Control System
9.8.1 Process Design:-
9.8.2 Process Verification:-
9.8.3 Process Improvement:-
9.9 Remote Operated Neural Network Control Plant
9.9.1 Field Instrumentations
9.9.2 Scaling And Conversions
9.9.3 Control Valves
9.9.4 Wireless Transmissions
9.10 Valves And Chemical Plant Tunings
9.10.1 Desired Chemical Mixture, Samples and NN Data
9.10.2 Chemical And Valves Calibrations
9.10.3 Trial Test In Actual Plant
9.11 Computerized Neural Network Control Plant
9.11.1 NN Real Time Control Plant
9.11.2 Neural Network Control Program
Chapter 10 --- Computer Vision
10.1 Image Thresholding
10.2 Zhang Suen Algorithm
10.3 Brief descriptions Of The Program Algorithm
10.4 Image Results
Appendix 1: MC68HC11 Registers
Appendix 2: MCU Port Testers
Appendix 3: LCD References
References
Index
by "Nielsen BookData"
