Real time control engineering : systems and automation

Author(s)

    • Ng, Tian Seng

Bibliographic Information

Real time control engineering : systems and automation

Tian Seng Ng

(Studies in systems, decision and control / series editor Janusz Kacprzyk, 65)

Springer, c2016

  • : hbk.

Available at  / 1 libraries

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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

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Details

  • NCID
    BB22961612
  • ISBN
    • 9789811015083
  • Country Code
    si
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Singapore
  • Pages/Volumes
    xxiii, 181 p.
  • Size
    25 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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