Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/69553
標題: Intelligent control of the F-100 turbofan engine for full flight envelope operation
作者: Lin, S.T.
Yeh, L.W.
關鍵字: j-85 turbojet engine
gas-turbine engines
multivariable control
edmunds method
fuzzy
期刊/報告no:: International Journal of Turbo & Jet-Engines, Volume 22, Issue 4, Page(s) 201-213.
摘要: A nonlinear intelligent controller is proposed in this paper for the main fuel flow of the F-100 turbofan engine. Three different kinds of method, fuzzy control, neural network, and genetic algorithm are combined to design the controller. These three methods are known to be effective methods to deal with nonlinear systems. The fuzzy logic controller is designed in a way that the turbo engine will respond to the input signal at a minimum time without violating any safety limits. The genetic algorithm is applied for off-line learning the most suitable design parameters of the fuzzy logic controller. For full flight-envelope operation, a feedforward effor-back-propagation neural network is used to learn the mapping of engine's altitude and Mach number into the parameters of the fuzzy logic controller. Finally, to reduce the tracking error of the rotor speed, an additional fuzzy controller is used to adjust the scaling factor of the main fuzzy controller.
URI: http://hdl.handle.net/11455/69553
ISSN: 0334-0082
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