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More About This Title Microcontroller Based Applied Digital Control
English
This book presents the theory and application of microcontroller based automatic control systems. Microcontrollers are single-chip computers which can be used to control real-time systems. Low-cost, single chip and easy to program, they have traditionally been programmed using the assembly language of the target processor. Recent developments in this field mean that it is now possible to program these devices using high-level languages such as BASIC, PASCAL, or C. As a result, very complex control algorithms can be developed and implemented on the microcontrollers.
Presenting a detailed treatment of how microcontrollers can be programmed and used in digital control applications, this book:
* Introduces the basic principles of the theory of digital control systems.
* Provides several working examples of real working mechanical, electrical and fluid systems.
* Covers the implementation of control algorithms using microcontrollers.
* Examines the advantages and disadvantages of various realization techniques.
* Describes the use of MATLAB in the analysis and design of control systems.
* Explains the sampling process, z-transforms, and the time response of discrete-time systems in detail.
Practising engineers in industry involved with the design and implementation of computer control systems will find Microcontroller Based Applied Digital Control an invaluable resource. In addition, researchers and students in control engineering and electrical engineering will find this book an excellent research tool.
English
Dogan Ibrahim is currently Head of the Department of Computer Engineering at Near East University, Cyprus. He has been a lecturer at Near East University since 1999, and prior to this held a range of roles including Principal Research Engineer at GEC Hirst Research Centre, London and Lecturer at South Bank University, London. He is an IEE Fellow.
English
1. INTRODUCTION.
1.1 The Idea Of System Control.
1.2 Computer In The Loop.
1.3 Centralized And Distributed Control Systems.
1.4 SCADA Systems.
1.5 Hardware Requirements For Computer Control.
1.6 Software Requirements For Computer Control.
1.7 Sensors Used In Computer Control.
1.8 Exercises.
2. SYSTEM MODELLING.
2.1 Mechanical Systems.
2.2 Electrical Systems.
2.3 Electromechanical Systems.
2.4 Fluid Systems.
2.5 Thermal Systems.
2.6 Exercises.
3. THE PIC MICROCONTROLLER.
3.1 The PIC Family.
3.2 Minimum PIC Configuration.
3.3 Some Popular PIC Microcontrollers.
3.4 Exercises.
4. PROGRAMMING PIC MICROCONTROLLERS.
4.1 PICC Lite Variable Types.
4.2 Variables.
4.3 Comments In Programs.
4.4 Storing Variables In The Program Memory.
4.5 Static Variables.
4.6 Volatile Variables.
4.7 Persistent Variables.
4.8 Absolute Address Variables.
4.9 Bank1 Qualifier.
4.10 Arrays.
4.11 ASCII Constants.
4.12 Arithmetic And Logic Operations.
4.13 Number Bases.
4.14 Structures.
4.15 Program Flow Control.
4.16 Functions In C.
4.17 Pointers In C.
4.18 Preprocessor Commands.
4.19 Accessing The EEPROM Memory.
4.20 Interrupts In C.
4.21 Delays In C Programs.
4.22 Structure Of A C Program.
4.23 PIC Microcontroller Input-Output Interface.
4.24 Exercises.
5. MICROCONTROLLER PROJECT DEVELOPMENT.
5.1 Hardware And Software Requirements.
5.2 Program Development Tool.
5.3 Exercises.
6. SAMPLED DATA SYSTEMS AND THE Z-TRANSFORM.
6.1 The Sampling Process.
6.2 Pulse Transfer Function And Manipulation Of Block Diagrams.
6.3 Exercises.
7. SYSTEM TIME RESPONSE CHARACTERISTICS.
7.1 Time Response Comparison.
7.2 Time Domain Specifications.
7.3 Mapping The s-plane Into Z-plane.
7.4 Damping Ration And Undamped Natural Frequency In The Z-plane.
7.5 Damping Ratio And Undamped Natural Frequency Using Formulae.
7.6 Exercises.
8. SYSTEM STABILITY.
8.1 Factorizing The Characteristic Equation.
8.2 Jury’s Stability Test.
8.3 Routh-Hurwitz Criterion.
8.4 Root Locus.
8.5 Nyquist Criterion.
8.6 Bode Diagrams.
8.7 Exercises.
9. DISCRETE CONTROLLER DESIGN.
9.1 Digital Controllers.
9.2 PIC Control.
9.3 Exercises.
10. CONTROLLER REALIZATIONS.
10.1 Direct Structure.
10.2 Cascade Realization.
10.3 Parallel Realization.
10.4 PID Controller Realizations.
10.5 Microcontroller Implementations.
10.6 Choice Of Sampling Interval.
10.7 Exercises.
11. A CASE STUDY – LIQUID LEVEL DIGITAL CONTROL SYSTEM.
11.1 The System Schematic.
11.2 System Model.
11.3 Identification Of The System.
11.4 Designing A Controller.
11.5 Conclusions.
APPENDIX A: TABLE OF Z-TRANSFORMS.
APPENDIX B: MATLAB TUTORIAL.
Index.
