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Improved MOGA-tuning and visualization for a hybrid control system

By R. Stirrup and A.J. Chipperfield

Abstract

A hybrid controller is developed for a solar-thermal power plant using a gain-scheduled controller with feedforward to control the more linear operating regimes and a fuzzy PI incremental controller for the highly nonlinear operating region of the plant. An enhanced method of MOGA-tuning is employed by first optimizing the number of input/output membership functions using neuro-fuzzy data clustering. Enhancements to the visualization properties of the MOGA's graphical user interface are evaluated to improve the decision maker's choice when deciding between non-dominated solutions or potential fuzzy controller inference systems

Topics: TK
Year: 2005
OAI identifier: oai:eprints.soton.ac.uk:58757
Provided by: e-Prints Soton

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