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Title: Dynamic modelling and control of gas turbine engines
Author: Kamalova, Zukhra
ISNI:       0000 0001 3594 2485
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2008
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This work is focused on the investigation of the performance of genetic algorithms with application to on-line dynamic modelling of a gas turbine engine. Data from a real engine is used to create, compare and analyse genetic algorithms. The gas turbine engine models obtained from the engine input-output data using genetic algorithm have been used in a Local Optimal Control design. An analogy between the first order Local Optimal Controller and the PI controller parameters has been discovered. An approach for tuning the PI controller parameters using Local Optimal Controller is presented.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available