ABSTRACT
This work deals with regulation possibilities of the DC motor via internet
and with artificial neural network utilization in such a regulation. The
work also handles the advantages and disadvantages of internet as a
control and communication bus at different levels of the information
hierarchy. Remote regulation response was measured and a curve
obtained depicting the non-linearity response of the neural network. The
purpose of non-linearity is a reserve for DC motor inactivity; a situation
for an error free network analysis.
TABLE OF CONTENTS
CHAPTER ONE: INTRODUCTION
1.1 Background of the Study - - 1
1.2 Aims and Objectives of the Work - 2
1.3 Justification of the Project - - 3
1.4 Scope of the Study - - - 4
1.5 Block Diagram Overview of the Work 6
1.6 Project Report Organization - - 7
CHAPTER TWO: REVIEW OF RELATED LITERATURE
2.1 Principles of the Related Literature 10
2.2 Technologies Available for the Project Work 13
2.3 Applications - - - 18
2.4 New Trends - - - 19
CHAPTER THREE: METHODOLOGY & SYSTEM ANALYSIS
3.1 Methodology - - - 21
3.1.1 Structured Analysis & Design Method 22
3.1.2 Top Down Design - - - 25
3.1.3 Bottom – Up Design - - - 27
3.1.4 Choice design Approach - - 27
3.2 Information Gathering - - 29
3.3 Data Analysis - - - 29
3.4 Limitations of the Existing System - 34
CHAPTER FOUR: SYSTEM DESIGN
4.1 System Specification - - 36
4.2 Hardware Subsystems Design - - 40
4.2.1 Input Interface - - - 41
4.2.2 The Control Systems - - 41
4.2.3 The Output Interface - - 42
4.3 The Software Subsystem - - 42
4.3.1 The Control Algorithm - - 43
4.3.2 The Database Design - - 45
4.3.3 The Input / Output Arrangement - 50
4.4 The Project Block Diagram - - 58
CHAPTER FIVE: SYSTEM IMPLEMENTATION
5.1 Hardware Subsystem Implementation 60
5.1.1 Input Interface Implementation - 60
5.1.2 The Control System Implementation - 64
5.1.3 The Output Interface Implementation 66
5.2 Software Subsystem Implementation - 67
5.3 The Database Implementation - - 69
5.4 System Testing - - - 71
5.4.1 The Test Plan - - - 71
5.4.2 Hardware Subsystem Testing - 73
5.4.3 Software Subsystem Testing - - 73
5.5 Performance Evaluation - - - 74
5.6 Project Packaging - - - 74
5.7 Project Costing - - - 75
5.8 Deployment - - - 76
CHAPTER SIX: SUMMARY AND CONCLUSION
6.1 Summary of Achievement - - 77
6.2 Problems Encountered and Solution - 77
6.3 Recommendations - - - 78
6.4 Suggestions for Further Improvement - 78
6.5 Conclusion - - - 79
References - - - 80
Appendix A: Full schematic Diagram 82
Appendix B: Software Details - - 83
Appendix C: Evidence of Completion - 84
CHAPTER ONE
INTRODUCTION
1.1 Background of the Study
Before the introduction of remote controlled devices regulated via the
internet, processes were monitored either by man or artificial agents.
Monitoring in these cases may pose some lapses should there be failure in
the system. Modern day processes have no room for irrationality in
artificial agents and man hence it went further in pursuit of a more rational
means of control with least possibility of errors.
There is huge effort to integrate different cooperating systems in one
complex system. The basic problem is communication between these
different modules of the system, especially when the modules are located
in different locations. According to communication requirements,
appropriate communication method has to be chosen. Continual evolution
of the internet enables higher and higher communication requirements to
be fulfilled. The internet to plays a very important role in industrial
processes manipulation; not only in information retrieving. With the
progress of the internet, it is possible to control and regulate remote system
from anywhere around the world at any time. Distance remote via internet,
or in other words, internet – based control has attracted much attention in
recent years. Such type of control bus allows remote monitoring or
regulation of whole plants or single devices over the internet. The design
process for the internet-based control systems includes requirement
specification, architecture design, control algorithm, interface design and
importantly safety analysis. Due to the low price and robustness resulting
from its wide acceptance and deployment, Ethernet has become an
attractive candidate for real - time control networks. Hence, it is necessary
to regulate web-based devices like an electric motor in such remote
regulation.
1.2 Aims and Objective of the Work
Due to the development of internet technique and speed increase of
transmission, an inexpensive convenient communication approach is
provided for the remote control system. The objectives include;
i. To handle the advantages and disadvantages of internet as a control
system;
ii. To use communication bus at different levels of the information
hierarchy in propagating the electromagnetic signal and;
iii. To move an induction motor with a remote regulation response
measured data.
The aim of this project work is to explore;
- existing possibilities;
- eventual trends;
- review of advantages and disadvantages of distance remote via
internet at different levels of information hierarchy and possible
solutions.
The work presents regulation of DC motor as an example of such a realtime
regulation and discusses possibilities of utilization of Artificial Neural
Network with some measured data from such a DC motor regulation via
internet.
1.3 Justification of the Study
Since early 1990’s, there has been a growing interest in using artificial
neural networks for control of non-linear systems. Numerous applications
have demonstrated that neural networks are indeed powerful tools for the
design of controllers for complex non linear systems.
As earlier stated, the development of internet technique, speed increase of
transmission and the inexpensive convenient communication approach is
provided for in the remote control system. This study presents regulation
possibilities of DC motor (as a real-time process) via internet and deals with artificial neural network utilization (as part of artificial intelligence) in
such a regulation.
The study also handles the advantages and disadvantages of internet as a
control and communication bus at different levels of the information
hierarchy as well as remote regulation response. All these play a very
important role in industrial processes manipulation and information
retrieval
1.4 Scope of the Study
There is increasing use of microprocessor based plant level devices such as
programmable controllers, distributed digital control systems, smart
analyzers etc. Most of these devices have “RS232” connectors which
enable connection to computers. If we begin to look all these RS232 ports
together, there would soon be unmanageable mess of winning, custom
software and little or no communication. This problem solution results in
integration of these devices into a meaningful “Information Architecture”.
This Information Architecture can be separated into 4 levels with the
sensor / activator level which are distinguished from each other by “4Rs”
principle criteria.
The 4Rs criteria are:
- Response time;
15
- Resolution and;
- Reliability and Reparability.
Adequate control software, appropriate computers on client and server site
and internet with satisfactory connection speed are necessary for
successful remote regulation of DC motor via internet adequate control
software. Definition of “adequate” control software, computer and
connection speed depends on concrete motor parameters. In general,
regulation of DC may be considered as real-time regulation problem and
time intervals in terms of milliseconds. The time intervals may vary
significantly from every regulation system. It is very important for
regulation of a system via internet that regulation loop time interval may
be under one millisecond, in milliseconds or may be over hundreds of
milliseconds. In the architecture design a remote regulation of electric
motor via internet generally includes three major parts:
- client;
- server and;
- regulated electric motor.
As mentioned earlier, Artificial Neural Network in motor regulation can be
used in many ways. For our purpose, Neural Network was used for the
control of linearization. Linearization of system control is making the
regulation significantly easier. Stuggart Neural Network Simulator (SNNS)
16
is used for Neural Network simulation. Different neural networks were
tested in simulator with different methods of teaching, different number of
hidden layers and different number of neurons in hidden layers.
Hence the study is limited to the following:
1. The information Architecture
2. The Remote Regulation Proposal and;
3. The Artificial Neural Network Utilization
1.5 Block Diagram Overview of the Project Work
| 1 - 5 of 96 Reviews |