The basic structure of any Final Report should follow that described in the previous section.
Although, within the formal structure, most projects will contain substantial differences, the Course Team felt that it would be helpful to include in this section some examples of good practice. As well as dealing with specific aspects of the content of the Final Report, they also give you the opportunity to see some of the different styles of layout and lettering that might be employed.
The examples belong to different disciplines, so you should look at them from the point of view of seeing how something could be done, or incorporated, rather than how it must always be done.
Example 1
ABSTRACT
The original project objective was to investigate the methods available for concentration or density measurement within multi-phase flows. The findings were to be applied to a particular industrial situation that was concerned with oil density measurement in a production process involving glass fibres. It was intended that a suitable transducer would be designed and built based on the findings and that the transducer would be installed on-line to achieve a desired measurement signal.
However, as the project progressed a problem developed concerning electrostatic build up the discharge which prohibited the use of the transducer and associated sensors online. Thus, a change of direction was required and a study of electrostatics with relevance to the particular application was undertaken. The original design and build objective was still continued with, carrying out testing off-line at the appropriate time. In addition to this, a risk assessment study was conducted concerning the electrostatic problem.
The results of the project indicate that it would be possible to use a system based on capacity sensing techniques in order to gain the required measurement signal on-line. Major conclusions to be drawn from the project include that it would be possible to design a system for use, based on the findings, that would be safe for use in a hazardous environment.
Example 2
INTRODUCTION
1.1 Background to the project
This choice of project arose from the author's interest in control engineering and his belief that the discipline of engineering in general can benefit from studying how nature solves problems. Fuzzy control fits well in both of these categories. It is finding an increasing number of applications in control engineering and indeed is likely to become an important additional tool for control engineers. It is also the likely method of how humans and possibly other animals adapt to, and learn to cope with, everyday problems - it certainly models the process of animal learning and adaptation.
1.2 Project Objective
The objective of the project is to design and implement, in simulation, a fuzzy logic control algorithm and compare the performance against a conventional reference controller. This will involve understanding the theory of fuzzy control and classifying control schemes to which fuzzy control can be most suitably applied.
1.3 Methodology
In order to meet the objective of the project a thorough grounding in the subject of fuzzy logic and its application to control engineering was required. The first step was to find a body of relevant literature from which to build this grounding and this was done primarily through the searching of a computer database.
An item of plant needed to be selected, to which the fuzzy controller could be applied. Also a reference control scheme was required, against which the performance of the fuzzy controller could be compared. Ideally this scheme had to be flexible enough to be extended should the task of developing the controller prove a simple one, while still being a realistic scheme. Finally both the plant and reference controller had to lend themselves to being easily modelled by computer simulation. The item of plant that fulfilled these criteria was a dc motor which could, if required, be applied to a robot arm that lifted varying loads.
Example 3
AIMS AND OBJECTIVES
The principal aim of this project was to establish energy or fuel consumption guidelines in domestic properties. These properties are council owned and are refurbished estate by estate as finances will allow. These refurbishment schemes, although successfully designed and implemented, provide no actual information to the tenants concerning running costs — will they increase or decrease, will they increase but provide a warmer home? It was decided to carry out this project to obtain running costs, both per week and on a square meter basis which would allow predictions to be provided on future schemes, involving similar house types.
Example 4
Tables, Formulae and Diagrams
| Possible Sampling Rates |
Sampling Frequency | Sampling Interval | Harmonics measured | Samples per period |
50 Hz system | 60 Hz system | 50 Hz system | 60 Hz system | --- | --- |
500 Hz | 600 Hz | 2.0 ms | 1.67 ms | 5th | 10 |
600 Hz | 720 Hz | 1.67 ms | 1.39 ms | 6th | 12 |
700 Hz | 840 Hz | 1.42 ms | 1.19 ms | 7th | 14 |
800 Hz | 960 Hz | 1.25 ms | 1.04 ms | 8th | 16 |
Table 3.1 Digital Sampling Rates
Measurements of the 2nd and 5th harmonics are essential for particular transformer protection algorithms. 2nd harmonies are used to restrain tripping actions during the energisation of a transformer. 5th harmonics are used to restrain action during transformer over-excitation.
Example 5
CONCLUSION AND RECOMMENDATIONS
6.1 Conclusions
The work has highlighted the need for a formal design and optimisation procedure that should aid the more widespread understanding and application of fuzzy control. Although no one design methodology is applicable to the implementation of fuzzy control a procedure has been described by which a fuzzy control scheme can be developed, tested and optimised. Graphical methods have been employed in this task and it is the belief of the author that the design process could be improved by extending these methods.
6.2 Recommendations
The recommendations for further work fall into two groups
- those relating to the development of this specific model
- those relating to the subject of fuzzy control.
Relating to the model
As stated earlier, the final model requires checking by implementing in hardware, as only by doing this can complete confidence in the design be achieved. An investigation would be useful as to why the version of the course and fine model, that used more sensitive parameters, failed, when other researchers have reported improved performance.
Relating to fuzzy control in general
There are many areas of fuzzy control that will benefit from further investigation, but those listed below lead directly from the work undertaken in this project or relate to questions that apply to the implementation of the model in hardware.
Example 6
REFERENCES
- Ogilvy J.A. (March 1989) 'Model for the ultrasonic inspection of rough defects' Ultrasonics Vol.27 Butterworth & Co (Publishers) Ltd.
- Bridge B. And Tahir Z. (June 1989) 'Omnidirectional Scattering of 4-20 MHz Ultrasound from Randomly Rough Machined Surfaces', British Journal of Non-Destructive Testing Vol. 31, no. 6: 24-40.
- D. M. Perreault, X. Chen and E. V. Anslyn, Tetrahedron, 1995, 51, 353.
(Also consult the Style Guide published by Hong Kong Metropolitan University)
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