Matlab/Simulink-based simulation for digital-control system of marine three-shaft gas-turbine

Yu, Youhong; Chen, Lingen; Sun, Fengrui; Chen, Wu

doi:10.1016/j.apenergy.2004.03.006

Cited by 32 publications

(9 citation statements)

References 11 publications

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“…Yu et al [31] reported a modular non-linear gas-turbine digital-control system constructed in a Simulink environment. The volume-inertia method was considered to construct a three-shaft gas-turbine in Simulink.…”

Section: Introductionmentioning

confidence: 99%

Gas Path Fault and Degradation Modelling in Twin-Shaft Gas Turbines

2018

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In this study, an assessment of degradation and failure modes in the gas-path components of twin-shaft industrial gas turbines (IGTs) has been carried out through a model-based analysis. Measurements from twin-shaft IGTs operated in the field and denoting reduction in engine performance attributed to compressor fouling conditions, hot-end blade turbine damage, and failure in the variable stator guide vane (VSGV) mechanism of the compressor have been considered for the analysis. The measurements were compared with simulated data from a thermodynamic model constructed in a Simulink environment, which predicts the physical parameters (pressure and temperature) across the different stations of the IGT. The model predicts engine health parameters, e.g., component efficiencies and flow capacities, which are not available in the engine field data. The results show that it is possible to simulate the change in physical parameters across the IGT during degradation and failure in the components by varying component efficiencies and flow capacities during IGT simulation. The results also demonstrate that the model can predict the measured field data attributed to failure in the gas-path components of twin-shaft IGTs. The estimated health parameters during degradation or failure in the gas-path components can assist the development of health-index prognostic methods for operational engine performance prediction.

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Section: Introductionmentioning

confidence: 99%

Gas Path Fault and Degradation Modelling in Twin-Shaft Gas Turbines

2018

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“…The flight is conducted under these circumstances and was not affected with different scenarios, this is due to the fuzzy controllers that help to model the uncertainty and help in the flight control. Besides these scenarios, a turbulence generator is introduced to increase the complexity, and this generates atmospheric turbulence, medium/high altitude scale length [45]. This block applies the Dryden spectral representation and this is to add the turbulence to the airplane, this also implements the mathematical representation in the Military Specification with number 8785C (MIL-F-8785), based on military references the turbulence is a stochastic process using the velocity spectra.…”

Section: Simulation Settingmentioning

confidence: 99%

Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control

Cervantes

Castillo

2015

Information Sciences

180

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“…With Simulink, one can move beyond idealized linear models to explore more realistic nonlinear models. For modeling, Simulink provides a graphic user interface (GUI) for building models as block diagrams, using click-and-drag mouse operations [9].…”

Section: Matlab/simulink Environment and The Max32 Boardmentioning

confidence: 99%

Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board

Khenfer

Mostefai

Benahdouga

et al. 2014

International Journal of Photoenergy

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This paper presents a laboratory with equipment and an algorithm for teaching graduate students the monitoring and the diagnosis of PV arrays. The contribution is the presentation of an algorithm to detect and localize the fault, in photovoltaic generator when a limited number of voltage sensors are used. AnI-Vcurve tracer using a capacitive load is exploited to measure theI-Vcharacteristics of PV arrays. Such measurement allows characterization of PV arrays on-site, under real operating conditions, and provides also information for the detection of potential array anomalies. ThisI-Vcurve tracer is based on a microcontroller board family called chipKIT Max32 which is a popular platform for physical computing. A user program can be developed visually on a PC side via the graphical user interface (GUI) in Matlab Simulink, where the chipKIT Max32 of Digilent which is a low-cost board is designed for use with the Arduinompid software. The obtained results from the partial shade default showed the effectiveness of the proposed diagnosis method and the good functioning of this board with the Matlab/Simulink environment.

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Matlab/Simulink-based simulation for digital-control system of marine three-shaft gas-turbine

Cited by 32 publications

References 11 publications

Gas Path Fault and Degradation Modelling in Twin-Shaft Gas Turbines

Gas Path Fault and Degradation Modelling in Twin-Shaft Gas Turbines

Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control

Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board

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