Identification of aircraft gas-turbines dynamics: comparison of classical and neural techniques

Lopes, J. C.; Ruano, Antonio; Fleming, P. J.

http://hdl.handle.net/10400.1/2309

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
gas_turbine.pdf		28.71 KB	Adobe PDF	Download

Send Feedback

Authors

Lopes, J. C.

Ruano, Antonio

Fleming, P. J.

Abstract(s)

A gas turbine is made up of three basic components: a compressor, a combustion chamber and a turbine. Air is drawn into the engine by the compressor, which compresses it and delivers it to the combustion chamber. There, the air is mixed with the fuel and the mixture ignited, producing a rise of temperature and therefore an expansion of the gases. These are expelled through the engine nozzle, but first pass through the turbine, designed to extract energy to keep the compressor rotating [1]. The work described here uses data recorded from a Rolls Royce Spey MK 202 turbine, whose simplified diagram can be seen in Fig. 1. Both the compressor and the turbine are split into low pressure (LP) and high pressure (HP) stages. The HP turbine drives the HP compressor and the LP turbine drives the LP compressor. They are connected by concentric shafts that rotate at different speeds, denoted as NH and NL.

Keywords

Gas Turbines Neural Networks Systems Identification

URI

http://hdl.handle.net/10400.1/2309

Citation

Lopes, J. C.; Ruano, A. E.; Fleming, P. J. Identification of Aircraft Gas-Turbines Dynamics: Comparison of Classical and Neural Techniques, Trabalho apresentado em Engineering Applications of Neural Networks (EANN’2001), In Engineering Applications of Neural Networks (EANN’2001), Cagliari, 2001.