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Switching control systems and their design automation via genetic algorithms

Ng, Kim Chwee (1995) Switching control systems and their design automation via genetic algorithms. PhD thesis, University of Glasgow.

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Abstract

The objective of this work is to provide a simple and effective nonlinear controller. Our strategy involves switching the underlying strategies in order to maintain a robust control. If a disturbance moves the system outside the region of stability or the domain of attraction, it will be guided back onto the desired course by the application of a different control strategy. In the context of switching control, the common types of controller present in the literature are based either on fuzzy logic or sliding mode. Both of them are easy to implement and provide efficient control for non-linear systems, their actions being based on the observed input/output behaviour of the system. In the field of fuzzy logic control (FLC) using error feedback variables there are two main problems. The first is the poor transient response (jerking) encountered by the conventional 2-dimensional rule-base fuzzy PI controller. Secondly, conventional 3-D rule-base fuzzy PID control design is both computationally intensive and suffers from prolonged design times caused by a large dimensional rule-base. The size of the rule base will increase exponentially with the increase of the number of fuzzy sets used for each input decision variable. Hence, a reduced rule-base is needed for the 3-term fuzzy controller. In this thesis a direct implementation method is developed that allows the size of the rule-base to be reduced exponentially without losing the features of the PID structure. This direct implementation method, when applied to the reduced rule-base fuzzy PI controller, gives a good transient response with no jerking.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Subjects: Q Science > QA Mathematics
Colleges/Schools: College of Science and Engineering > School of Engineering
Supervisor's Name: Supervisor, not known
Date of Award: 1995
Depositing User: Elaine Ballantyne
Unique ID: glathesis:1995-1556
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 18 Feb 2010
Last Modified: 10 Dec 2012 13:42
URI: http://theses.gla.ac.uk/id/eprint/1556

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