Modeling and Control of a Wet-Gas Centrifugal Compressor

Kristoffersen, Torstein Thode; Holden, Christian

doi:10.1109/tcst.2020.2993224

Cited by 7 publications

(4 citation statements)

References 26 publications

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“…Este conjunto de elementos es el componente fundamental para obtener los mapas de operación de los compresores, porque permite conocer el flujo dinámico que necesita un compresor desde lo teórico hasta lo Figura 1: Conformación del sistema de compresión [27]. experimental, también proporciona puntos equivalentes para la toma de medidas, debido a que son de gran importancia para la generación de estos mapas, dando como resultado los índices de relación de presión [29].…”

Section: Modelo Matemático Del Sistema De Compresiónunclassified

Modelo matemático de un plenum para obtener las características dinámicas del flujo másico de un turbocargador

Bermúdez Santaella,

Suárez Sierra,

Cabello Eras

2024

Matéria (Rio J.)

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RESUMEN Los turbocargadores en la actualidad han demostrado ser imprescindibles en el campo automotriz por ser máquinas que se encargan de aumentar la potencia, reducir el consumo de combustible y generar menos dióxido de carbono en un motor de combustión interna. En este artículo se presenta el desarrollo de un modelo matemático en base a un plenum, con el propósito de obtener las características dinámicas del flujo másico que genera un turbocargador. Para cumplir con lo propuesto se fundamentó en el conocimiento teórico-práctico de las leyes y conceptos que conforman un turbocargador, dando como resultado la simulación de un modelo matemático utilizando la herramienta Simulink. Para el desarrollo del modelo matemático se utilizaron datos teóricos y de pruebas en régimen estable y dinámico, así como el comportamiento del plenum sometido al sistema de compresión. Este modelo planteado contribuirá a la comunidad científica a través de la obtención de las características entre la relación de compresión y el flujo de masa del compresor de un turbocargador, también, aportará en el futuro al campo de la detección y diagnósticos de fallos orientados a los turbocargadores vehiculares.

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Section: Modelo Matemático Del Sistema De Compresiónunclassified

Modelo matemático de un plenum para obtener las características dinámicas del flujo másico de un turbocargador

Bermúdez Santaella,

Suárez Sierra,

Cabello Eras

2024

Matéria (Rio J.)

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“…As observed, the outputs depend on the input on the outputs in the earlier time steps, indicating that NARX networks are the perceptron networks with the ability to delay time for external inputs generating feedback from outputs to the inputs. In the identification process through this model, usually, the parallel-series structure is applied, which has different advantages: (1) In this neural network, a more accurate feedback signal is generated, thus improving the accuracy of the identification process, and (2) it easily converts into a parallel structure (Figure 4). This structure consists of one input layer, two hidden layers, and one output layer.…”

Section: Compressor Narx Modelingmentioning

confidence: 99%

“…The compressor is a mechanical device that increases the pressure by reducing the volume of gases. There are various challenges for controlling the compressor [1,2]. One of the problems is testing and experiment of the controller which, given risk and cost of the test, in practice, it is better first to estimate the compressor model and to use it in the controller simulation after the ensuring of the capability of optimal performance of the controller is implemented in practice, which specified the highlights importance of modeling [3,4].…”

Section: Introductionmentioning

confidence: 99%

System identification using NARX and centrifugal compressor control through the intelligent, active method—Case study: K‐250 centrifugal compressor

Khosravi

Chatraei

Shahgholian

et al. 2022

Asian Journal of Control

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Surge and constant pressure are some of the most critical issues in compressor control. In this paper, the problem of the surge and constant pressure in the presence of environmental disturbances is solved. Proposed design for control system based on proportional-integral controllers, adaptive neuro-fuzzy inference system (FIS), and particle swarm optimized neural fuzzy and for modeling neural network strategy fuzzy nonlinear automatic regression with external input is used. Based on this, for modeling, practical and real data are extracted from the K-250 compressor of Isfahan Steel Company. In the adaptive neuro-fuzzy inference system-particle swarm optimization (ANFIS-PSO)

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“…Comprehensive gas control measures have been adopted for roof strike high drilling and upper corner buried pipes during mining [29][30][31]. On the basis of the previous monitoring data of Wulan Coal Mine, the above measures can generally solve at least 40 m 3 /min of gas gushing from the working face.…”

Section: Gas Control Technologymentioning

confidence: 99%

Research on Joint Protection Layers and Gas Prevention Technology in Outburst Coal Seams

Zhang

2022

Sustainability

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Outburst closed distance coal seam distances are extremely difficult to mine, and are commonly involved in safety accidents in the process of mining. Based on the engineering background of the Wulan Coal Mine at the western margin of the Ordos Basin, this paper presents a theoretical analysis, engineering analogies, and numerical simulations to determine the optimal mining sequence for the Wulan Coal Mine #7, #8, #2, and #3 coal seams. Floor penetration drilling was used to eliminate outbursts in the #7 and #8 coal seams, and gas control in the #2 and #3 coal seams was achieved using ground drilling to pump and release the pressured gas. We established a comprehensive management technology system for gas emissions from the short-distance joint protection layer in the outburst coal seams of Wulan Coal Mine, where pressure relief and drainage were carried out by drilling through the floor and surface drilling pressure relief extraction. Through field tests, the pre-drainage rate of the #2 coal seam in the Wulan Coal Mine was 66.8%, and the pre-drainage rate of the #3 coal seam was 68.1%. This shows that protective layer mining of the #7 and #8 coal seams combined with surface drilling to extract pressure-relief gas can protect the #2 and #3 coal seams.

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Modeling and Control of a Wet-Gas Centrifugal Compressor

Cited by 7 publications

References 26 publications

Modelo matemático de un plenum para obtener las características dinámicas del flujo másico de un turbocargador

Modelo matemático de un plenum para obtener las características dinámicas del flujo másico de un turbocargador

System identification using NARX and centrifugal compressor control through the intelligent, active method—Case study: K‐250 centrifugal compressor

Research on Joint Protection Layers and Gas Prevention Technology in Outburst Coal Seams

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