City Research Online

Abstract

In this research on-line steady state optimisation techniques capable of being applied to the situation where process structure is highly uncertain have been systematically investigated. The main results obtained in the research reveal that by adopting an iterative procedure of updating model parameter values and appropriately modifying model optimisation problems the model uncertainty can be overcome and the process optimal operating condition can be attained. Algorithms for solving integrated system optimisation and parameter estimation problems have been developed by utilizing normal Lagrange analysis as a basic mathematical tool. It has been shown that a very simple model can be employed to determine the process optimum operating condition using these algorithms. If any disturbances occur at any stage during the operation (for instance, changes in raw material composition) the algorithms will adapt to proceed towards a new optimum.

This research also involves the improvement of a distributed computer network where new integrated system optimisation and parameter estimation techniques developed in the research can be studied under a real time environment. Problems associated with the practical implementation of the techniques have been discussed and methods for dealing with these problems have been suggested and tested using a microcomputer based system.

The author hopes that the work reported in this thesis will provide a useful foundation for evaluating and extending the techniques of on-line integrated system optimisation and parameter estimation both in methodology and application aspects.

Publication Type:	Thesis (Doctoral)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Departments:	School of Science & Technology > Engineering School of Science & Technology > School of Science & Technology Doctoral Theses Doctoral Theses

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