Hybrid control and evolutionary decision support within a sustainable environment
Hybrid control and evolutionary decision support within a sustainable environment
Due to the increased global demand for energy, and the potential dangersof relying too heavily on our fossil fuel reserves, more and more research is being directed towards alternative, and preferably reusable or sustainable forms of energy supply. Many of these real world systems have operating regions that exhibit varying degrees of non-linearity. An example of this are the significant variations in the dynamic characteristics of a distributed collector field within a solar power plant. Here a control scheme employs a fuzzy PI controller, with feedforward, for the highly nonlinear part of the operating regime and gain scheduled controller for the more linear part of the operating envelope. In order to satisfy performance characteristics for the plant at different points in the operating regime, a multiobjective genetic algorithm with enhanced decision support system, is used to design the parameters of the fuzzy controller.
conflict sensitivity, fuzzy logic control, gain scheduling control, multiobjective genetic algorithms, solar power plant, distributed collector field, dynamic characteristics, enhanced decision support system, evolutionary decision support, feedforward, fuzzy PI controller, hybrid control, operating region nonlinearity, performance characteristics, real world systems
078037620X
526-531
Stirrup, R.
79047437-1b34-4335-bb5d-d48e15e4c03e
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
6 February 2003
Stirrup, R.
79047437-1b34-4335-bb5d-d48e15e4c03e
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Stirrup, R. and Chipperfield, A.J.
(2003)
Hybrid control and evolutionary decision support within a sustainable environment.
In Proceedings of the 2002 IEEE International Symposium on Intelligent Control.
IEEE.
.
(doi:10.1109/ISIC.2002.1157818).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Due to the increased global demand for energy, and the potential dangersof relying too heavily on our fossil fuel reserves, more and more research is being directed towards alternative, and preferably reusable or sustainable forms of energy supply. Many of these real world systems have operating regions that exhibit varying degrees of non-linearity. An example of this are the significant variations in the dynamic characteristics of a distributed collector field within a solar power plant. Here a control scheme employs a fuzzy PI controller, with feedforward, for the highly nonlinear part of the operating regime and gain scheduled controller for the more linear part of the operating envelope. In order to satisfy performance characteristics for the plant at different points in the operating regime, a multiobjective genetic algorithm with enhanced decision support system, is used to design the parameters of the fuzzy controller.
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Published date: 6 February 2003
Venue - Dates:
2002 IEEE International Symposium on Intelligent Control, Vancouver, Canada, 2002-10-27 - 2002-10-30
Keywords:
conflict sensitivity, fuzzy logic control, gain scheduling control, multiobjective genetic algorithms, solar power plant, distributed collector field, dynamic characteristics, enhanced decision support system, evolutionary decision support, feedforward, fuzzy PI controller, hybrid control, operating region nonlinearity, performance characteristics, real world systems
Identifiers
Local EPrints ID: 58754
URI: http://eprints.soton.ac.uk/id/eprint/58754
ISBN: 078037620X
PURE UUID: 15310155-dd7d-4b94-a141-b8491ec27207
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Date deposited: 18 Aug 2008
Last modified: 16 Mar 2024 03:31
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Author:
R. Stirrup
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