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Keywords: feedforward neural network models
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Proceedings Papers

Optimum Gain-Scheduling PID Controllers for Gas Turbine Engines Based on NARMAX and Neural Network Models

Junxia Mu, David Rees, Neophytos Chiras
Proc. ASME. GT2003, Volume 1: Turbo Expo 2003, 509-515, June 16–19, 2003
Publisher: American Society of Mechanical Engineers
Paper No: GT2003-38667
https://doi.org/10.1115/GT2003-38667
... This paper presents PID controller designs based on NARMAX and feedforward neural network models of a Spey gas turbine engine. Both models represent the dynamic relationship between the fuel flow and shaft speed. Due to the engine non-linearity, a single set of PID controller parameters...
View Paper titled, Optimum Gain-Scheduling PID Controllers for Gas Turbine Engines Based on NARMAX and Neural Network Models
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Topics: Control equipment, Feedforward control, Gain scheduling, Gas turbines, Neural network models