Robust adaptive backstepping active control of compressor surge based on wavelet neural network

Sheng, Hanlin; Qian, Chen; Li, Jiacheng; Li, Zefan; Wang, Zhe; Zhang, Tianhong

doi:10.1016/j.ast.2020.106139

Cited by 20 publications

(6 citation statements)

References 28 publications

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“…Moreover, the proposed system will not be able to protect the compressor during fast transients in operating point towards the surge control line due to the high computational delay of the proposed algorithm. Other ASC techniques proposed in Refs, 2,9,10,12 are based on model predictive control; 16 is based on neural network and 13,14 are based on fuzzy logic control. These techniques possess several practical issues.…”

Section: Resultsmentioning

confidence: 99%

“…In Dominic et al, 15 the surge controller is designed using a programmable logic controller with compressor map based and flatness-based feedforward control. In paper, 16 a robust control based on the backstepping approach was presented using the wavelet neural network approach. A Lyapunov based adaptive surge control method was proposed in Zhang and Malekgoudarzi 17 in the presence of uncertainties.…”

Section: Opmentioning

confidence: 99%

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Surge protection of centrifugal compressors using advanced anti-surge control system

Amin

Maqsood

Mahmood-ul-Hasan

2021

Measurement and Control

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Centrifugal Compressors (CCs) are widely used equipment to transport the natural gas over long-distance pipelines from the gas processing facility to end consumers. Surge protection is of vital importance for such compressors to avoid costly damage to machine and production loss due to process interruption. In this paper, the dynamic behaviour of CCs has been studied during four critical scenarios: high header pressure, low suction pressure, startup of the new unit, and emergency shutdown of the unit. The dynamic simulation has been carried out using HYSYS software and validated with an industrial scale CC plant. The advanced Anti-Surge Control (ASC) consists of a split PID control in contrast to conventional PID control. The simulation results demonstrate the superior performance of advanced ASC over a conventional one for the severe surge in the event of high header pressure and low suction pressure. The occurrence of surge during start-up and the emergency shutdown was handled with the full open operation of the Anti-Surge Valve (ASV). The proposed algorithm has proved successful in protecting the compressor during fast transients of the operating point towards the surge limit line. The study is significant for the oil and gas plants and other process industry professionals for designing effective ASC systems.

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Section: Resultsmentioning

confidence: 99%

Section: Opmentioning

confidence: 99%

Surge protection of centrifugal compressors using advanced anti-surge control system

Amin

Maqsood

Mahmood-ul-Hasan

2021

Measurement and Control

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“…In addition to modeling surge, it is possible to apply ANN to provide backstepping active control for axial compressor surge. In a study by Sheng et al (2020), a closed coupled valve was used as the actuator in order to generate a compression system second order Moore-Greitzer surge model. The controller was designed on the basis of a wavelet neural network.…”

Section: Surge and Stallmentioning

confidence: 99%

Applications of machine learning approaches in aerodynamic aspects of axial flow compressors: A review

Pakatchian

Ziamolki²,

Nazari³

2023

Front. Energy Res.

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A compressor is one of the key components of a gas turbine engine and its performance and characteristics significantly affect the overall performance of the engine. Axial flow compressors are one of the most conventional types of compressors and are widely used in turbine engines for large-scale power generation. Intelligent techniques are useful for numerical simulation, characterization of axial compressors, and predicting their performance. The present work reviews studies applying different intelligent methods for performance forecasting and modeling different aerodynamic aspects of axial compressors. Corresponding to the outcomes of the considered research works, it can be expressed that by using these methods, axial compressors can be characterized properly with acceptable exactness. In addition, these techniques are useful for performance prediction of the compressors. The accuracy and performance of these methods is impacted by several elements, specifically the employed method and applied input variables. Finally, some suggestions are made for future studies in the field.

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“…Thus, the airflow to the compressor is blocked. At the same time, there is a possibility of flow rate oscillation that might result in powerful vibrations, causing damage to the system [76]. The effective way to prevent the surge is through active surge control, expanding the operating range of the compressor using a feedback controller.…”

Section: Faults In Dle Gas Turbinementioning

confidence: 99%

Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges

et al. 2022

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Dry-low emission (DLE) is one of the cleanest combustion types used in a gas turbine. DLE gas turbines have become popular due to their ability to reduce emissions by operating in lean-burn operation. However, this technology leads to challenges that sometimes interrupt regular operations. Therefore, this paper extensively reviews the development of the DLE gas turbine and its challenges. Numerous online publications from various databases, including IEEE Xplore, Scopus, and Web of Science, are compiled to describe the evolution of gas turbine technology based on emissions, fuel flexibility, and drawbacks. Various gas turbine models, including physical and black box models, are further discussed in detail. Working principles, fuel staging mechanisms, and advantages of DLE gas turbines followed by common faults that lead to gas turbine tripping are specifically discussed. A detailed evaluation of lean blow-out (LBO) as the major fault is subsequently highlighted, followed by the current methods in LBO prediction. The literature confirms that the DLE gas turbine has the most profitable features against other clean combustion methods. Simulation using Rowen’s model significantly imitates the actual behavior of the DLE gas turbine that can be used to develop a control strategy to maintain combustion stability. Lastly, the data-driven LBO prediction method helps minimize the flame’s probability of a blow-out.

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Robust adaptive backstepping active control of compressor surge based on wavelet neural network

Cited by 20 publications

References 28 publications

Surge protection of centrifugal compressors using advanced anti-surge control system

Surge protection of centrifugal compressors using advanced anti-surge control system

Applications of machine learning approaches in aerodynamic aspects of axial flow compressors: A review

Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges

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