More than 60% of the power generated in Iran depends on the technical characteristics of
heavy-duty gas turbine power plants. The ability to make changes in the amount of …

Purpose The purpose of this paper is to propose an adaptive neural-sliding mode-based
observer for the estimation and reconstruction of unknown faults and disturbances for time …

Nonlinear control of turbofan engines in the flight envelope has attracted much attention in
consideration of the inherent nonlinearity of the engine dynamics. Most nonlinear control …

Abstract Intelligent Adaptive Control (AC) has remarkable advantages in the control system
design of aero-engine which has strong nonlinearity and uncertainty. Inspired by the …

Gas turbines are internal combustion engines widely used in industry as main source of
power for aircrafts, turbo-generators, turbo-pumps and turbo-compressors. Modelling these …

In this study, machine learning-based models of a single shaft gas turbine (GT) are
developed. For this purpose, recurrent neural networks (RNN) are employed to train the …

In this study, a model of a single shaft gas turbine (GT) is developed by using artificial
intelligence (AI). A recurrent neural network (RNN) is employed to train the datasets of the …

针对解析法建立涡扇发动机加速过程模型精度和实时性不高的问题, 提出了一种基于粒子群核极
值学习机(PSO-KELM) 的涡扇发动机加速过程模型数据驱动辨识方法, 构建涡扇发动机加速过程 …

In order to solve the problem of low accuracy and real-time in establishing the model of
turbofan engine acceleration process by analytic method, a data-driven method on …

Continuous Stirred Tank Reactors (CSTRs) are important components in chemical
processes. They are often interconnected to achieve desired reaction sequences. However …