Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271356
Title: Process design for controllability of nonlinear systems with multiplicity
Author: Ma, Keming
ISNI:       0000 0001 3614 6384
Awarding Body: University of London
Current Institution: University College London (University of London)
Date of Award: 2002
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Abstract:
This thesis is concerned with the development of methods for controllability analysis leading to process design modifications of nonlinear chemical processes with input multiplicity. The first part of this thesis presents an approach to controllability analysis, based on bifurcation and continuation techniques, that can identify input multiplicity behaviour in the parameter space and give insights into the dependence of input multiplicity on the values of operating and design parameters. The algorithm developed incorporates the necessary condition for the existence of input multiplicity at a variety of steady states as an add-in subroutine into an available bifurcation analysis program, which is suitable for sizeable nonlinear processes. This allows one to study how operating conditions and design parameters influence input multiplicity behaviour, hence providing guidance to modify process designs to eliminate or avoid input multiplicity. The key features and application of the proposed approach are demonstrated through an exothermic continuous stirred tank reaction (CSTR) example and comparison made with the analytical results. The second part of this thesis focusses on an approach to making process design modifications by using optimisation and bifurcation analysis. A process modification problem is formulated within an optimisation framework which aims at minimising design parameter adjustment to eliminate potential control difficulties associated with input multiplicity behaviour for a disturbance, and results in a nonlinear programming (NLP) problem. Results are presented for its applications to a reactor-separator system with recycle and an industrial polymerization reaction.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.271356  DOI: Not available
Keywords: Control systems & control theory
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