Nonlinear generalized predictive controller based on ensemble of NARX models for industrial gas turbine engine

IMA Ibrahem, O Akhrif, H Moustapha, M Staniszewski - Energy, 2021 - Elsevier
New design and operation of modern gas turbine engines (GTEs) are becoming more and
more complex where several limitations and control modes should be fulfilled at the same …

Single neural adaptive PID control for small UAV micro-turbojet engine

W Tang, L Wang, J Gu, Y Gu - Sensors, 2020 - mdpi.com
The micro-turbojet engine (MTE) is especially suitable for unmanned aerial vehicles (UAVs).
Because the rotor speed is proportional to the thrust force, the accurate speed tracking …

[HTML][HTML] A novel model-based multivariable framework for aircraft gas turbine engine limit protection control

P Shuwei, S Jafari, T Nikolaidis, LI Qiuhong - Chinese Journal of …, 2021 - Elsevier
Control technologies are innovated to satisfy increasingly complicated control demands of
gas turbine engines. In terms of limit protection control, a novel model-based multivariable …

Turbojet engine industrial Min–Max controller performance improvement using fuzzy norms

S Jafari, T Nikolaidis - Electronics, 2018 - mdpi.com
The Min–Max control strategy is the most widely used control algorithm for gas turbine
engines. This strategy uses minimum and maximum mathematical functions to select the …

Comparative study between three modeling approaches for a gas turbine power generation system

O Mohamed, ME Za'ter - Arabian Journal for Science and Engineering, 2020 - Springer
This paper presents a comparison between three modeling approaches for a gas turbine
power generation system. These approaches involve artificial neural network (ANN), state …

Advanced constraints management strategy for real-time optimization of gas turbine engine transient performance

T Nikolaidis, Z Li, S Jafari - Applied Sciences, 2019 - mdpi.com
Featured Application The method that is described in this work can be used to assess the
gas turbine engine performance under different control modes when the engine experiences …

A nonlinear neural network-based model predictive control for industrial gas turbine

IMA Ibrahem - 2020 - espace.etsmtl.ca
Gas turbines are now extensively used in aviation, oil and gas applications and power
generation. With this increasing use in a diverse range of applications, gas turbine engines …

Nonlinear Model Predictive Control for Power Generation Gas Turbines

S Shahin, A Elkhashap, M Abdelgelil… - 2021 International …, 2021 - ieeexplore.ieee.org
Various industrial applications rely on Gas Turbines (GTs) for power generation. The control
task of power generation GTs is a challenging task considering the GT nonlinear multi time …

Advanced constraints management strategy for real-time optimization of gas turbine engine transient performance

N Theoklis, S Jafari, Z Li - 2019 - dspace.lib.cranfield.ac.uk
Motivated by the growing technology of control and data processing as well as the
increasingly complex designs of the new generation of gas turbine engines, a fully automatic …

Multi-variable Model Predictive Control Design for a Turbofan Engine and Performance Comparison with Min-Max Controller

M Montazeri, M Ehteshami, A Emani - Fluid Mechanics & …, 2019 - fma.ihu.ac.ir
The turbofan engine controller is responsible for providing the thrust requested by the pilot,
while maintaining structural and operational constraints. Therefore, the strategies used to …