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

Ibrahem, Ibrahem M. A.; Akhrif, Ouassima; Moustapha, Hany; Staniszewski, Martin

doi:10.1016/j.energy.2021.120700

Cited by 20 publications

(9 citation statements)

References 27 publications

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“…The NARX model is a type of ANN with feedback suitable for non-linear modeling systems, especially time series, that use past measurements to predict future values [ 25 ].…”

Section: The Narx Modelmentioning

confidence: 99%

System Identification Methodology of a Gas Turbine Based on Artificial Recurrent Neural Networks

Aquize

Cajahuaringa

Machuca

et al. 2023

Sensors

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The application of identification techniques using artificial intelligence to the gas turbine (GT), whose nonlinear dynamic behavior is difficult to describe through differential equations and the laws of physics, has begun to gain importance for a little more than a decade. NARX (Nonlinear autoregressive network with exogenous inputs) is one of the models used to identify GT because it provides good results. However, existing studies need to show a systematic method to generate robust NARX models that can identify a GT with satisfactory accuracy. In this sense, a systematic method is proposed to design NARX models for identifying a GT, which consists of nine precise steps that go from identifying GT variables to obtaining the optimized NARX model. To validate the method, it was applied to a case study of a 215 MW SIEMENS TG, model SGT6-5000F, using a set of 2305 real-time series data records, obtaining a NARX model with an MSE of 1.945 × 10−5, RMSE of 0.4411% and a MAPE of 0.0643.

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“…The NARX model is a type of ANN with feedback suitable for non-linear modeling systems, especially time series, that use past measurements to predict future values [ 25 ].…”

Section: The Narx Modelmentioning

confidence: 99%

System Identification Methodology of a Gas Turbine Based on Artificial Recurrent Neural Networks

Aquize

Cajahuaringa

Machuca

et al. 2023

Sensors

View full text Add to dashboard Cite

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“…The severely degraded engine at 3000 flight cycles is selected as a test case. As can be seen from For implementation purposes, a controller for gas turbine aero-engines is required to accommodate different flight phases [45]. The above-mentioned transient simulations on studied controllers are mainly carried at sea-level static conditions for the take-off scenario, in which both the engine and the control system endure critically harsh tests.…”

Section: Case 2: Seatp Controller Versus Atp Controllermentioning

confidence: 99%

Self-enhancing model-based control for active transient protection and thrust response improvement of gas turbine aero-engines

Wei

Zhang

Jafari

et al. 2022

Energy

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“…Predicting gas turbine performance and the behaviour of its components is crucial to taking the appropriate maintenance action. It will also be profoundly helpful in the design of new engines as well as for redesigning an existing product [ 2 , 3 , 4 , 5 ]. Gas turbine engines operate under harsh operating conditions that include high temperatures, pressures, and mechanical and thermal stresses; as a result, the performance of the gas-path components gradually deteriorates [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Three Shaft Industrial Gas Turbine Transient Performance Analysis

Salilew

Karim

Lemma

et al. 2023

Sensors

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The power demand from gas turbines in electrical grids is becoming more dynamic due to the rising demand for power generation from renewable energy sources. Therefore, including the transient data in the fault diagnostic process is important when the steady-state data are limited and if some component faults are more observable in the transient condition than in the steady-state condition. This study analyses the transient behaviour of a three-shaft industrial gas turbine engine in clean and degraded conditions with consideration of the secondary air system and variable inlet guide vane effects. Different gas path faults are simulated to demonstrate how magnified the transient measurement deviations are compared with the steady-state measurement deviations. The results show that some of the key measurement deviations are considerably higher in the transient mode than in the steady state. This confirms the importance of considering transient measurements for early fault detection and more accurate diagnostic solutions.

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

Cited by 20 publications

References 27 publications

System Identification Methodology of a Gas Turbine Based on Artificial Recurrent Neural Networks

System Identification Methodology of a Gas Turbine Based on Artificial Recurrent Neural Networks

Self-enhancing model-based control for active transient protection and thrust response improvement of gas turbine aero-engines

Three Shaft Industrial Gas Turbine Transient Performance Analysis

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