Real Time Control Engineering: Systems and Automation

ISBN-13: 9789811015083 / Angielski / Twarda / 2016 / 181 str.

Tian Seng Ng

Opis

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.

Spis treści

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

O autorze

Mr Tian Seng Ng holds the MSc degree in computer control and automation. At present, he is a technical staff member at the Nanyang Technological University. He has been working in the field of robotics, control and automation for almost 25 years. His past working experience is in the gantry crane automation system at the wharves, and at the field pumping stations in Singapore. His interest lies in the domain of instrumentations, mechatronics, control systems to machine visions.