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

Wei, Zhiyuan; Zhang, Shuguang; Jafari, Soheil; Nikolaidis, Theoklis

doi:10.1016/j.energy.2021.123030

Cited by 24 publications

(4 citation statements)

References 40 publications

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“…The min-max control approach was utilized as the control system employing the invasive weed optimization (IWO) to optimize controller gains. Wei et al [12] presented model-based method, namely A self-enhancing active transient protection (SeATP), to handle the limit of surge margin and turbine inlet temperature. Montazeri-Gh and Rasti [13] employed the GA to tune the min-max algorithm and model predictive control of the turbofan engine.…”

Section: Introductionmentioning

confidence: 99%

Control system optimisation of biodiesel-based gas turbine for ship propulsion

Machmudah,

Bakar,

et al. 2024

IJ-AI

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<p>Reducing a gas emission of shipping transportations become a main goal of international maritime organization to achieve a clean energy. One of best scenarios to achieve this goal is to shift a fossil fuel to a renewable energy-based fuel of a ship propulsion. This paper studies an optimization of a control system of the renewable-based small gas turbine engine for the ship propulsion. Proposed control system consists of a proportional-integral with engine performance limiters to avoid an engine damage. Proportional-integral gains are tuned by a whale optimization algorithm. A gain scheduling analysis of a step response is performed to obtain a searching area of tuning parameters and values of constant gains. In this step, the gains are modeled as function of plant variables. After the searching area is obtained, the proportional-integral gains are optimized using the whale optimization algorithm while the additional gains are set as constant values. Using this scenario, stable and optimal gains have been successfully achieved. Results show that the proposed method has better performance than that of the previous methods, i.e. gain scheduling and gain scheduling optimized by the whale optimization algorithm. The proposed method has lowest fitness value and does not have an overshoot problem.</p>

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Section: Introductionmentioning

confidence: 99%

Control system optimisation of biodiesel-based gas turbine for ship propulsion

Machmudah,

Bakar,

et al. 2024

IJ-AI

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“…The model engine implanted with three typical single-component problems demonstrates the effectiveness of the established diagnostic approach. For gas turbine aero engines, Zhiyuan et al [ 28 ] proposed a self-improving active transient protection control approach based on model-based strategies with the goal of proactive handling of the surge margin limit and turbine entry temperature limit throughout the life cycle. Liuxi et al [ 29 ] examined a transient flow and thermal-fluid-solid coupling to analyse the transient flow and the temperature field of the blade under start-up, shutdown, and varied load conditions.…”

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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“…to accommodate this variety in the property and characteristic and provide necessary control quality, the adaption concept is necessary to be introduced into ACS [2][3][4][5][6]. One of the most promising development is work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.…”

Section: Introductionmentioning

confidence: 99%

“…Many works that are previously carried out [13][14][15][16][17][18] investigate such a model and propose algorithms for estimating model coefficients. researches of various authors [6,11,12,[19][20][21][22] propose approaches towards dynamic model corrections. but for their engineering realisation in automatic mode, the accuracy of the adaptive model has to be under control.…”

Section: Introductionmentioning

confidence: 99%

Development of Turboshaft Engine Adaptive Dynamic Model: Analysis of Estimation Errors

Yepifanov

Bondarenko

2022

Transactions on Aerospace Research

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One of the most perspective directions of aircraft engine development is related to implementing adaptive automatic electronic control systems (ACS). The significant elements of these systems are algorithms of matching of mathematical models to actual performances of the engine. These adaptive models are used directly in control algorithms and are a combination of static and dynamic sub-models. This work considers the dynamic sub-models formation using the Least Square method (LSM) on a base of the engine parameters that are measured in-flight. While implementing this function in the (ACS), the problem of checking the sufficiency of the used information for ensuring the required precision of the model arises. We must do this checking a priori (to determine a set of operation modes, the shape of the engine test impact and volume of recorded information) and a posteriori. Equations of the engine models are considered. Relations are derived that determine the precision of parameters of these models’ estimation depending on the precision of measurement, the composition of the engine power ratings, and durability of observations, at a stepwise change of fuel flow. We present these relations in non-dimensional coordinates that make them universal and ready for application to any turboshaft engine.

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

Cited by 24 publications

References 40 publications

Control system optimisation of biodiesel-based gas turbine for ship propulsion

Control system optimisation of biodiesel-based gas turbine for ship propulsion

Three Shaft Industrial Gas Turbine Transient Performance Analysis

Development of Turboshaft Engine Adaptive Dynamic Model: Analysis of Estimation Errors

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