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DOI: 10.14569/IJACSA.2022.0130182
PDF

Design and Performance Analysis of Anti-Surge Control Mechanism for Compressor System using Neural Networks

Author 1: Divya M. N
Author 2: Narayanappa C.K
Author 3: S L Gangadhariah
Author 4: V Nuthan Prasad

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 1, 2022.

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Abstract: The compressor system is caused by the surge, which is an instability occurrence in most gas-process and oil industries. These issues are solved by using a recycle valve that avoids the surge and provides higher mass flow in the compressor system. An advanced controller-based anti-surge control mechanism is a need in the compressor system to improve the stability and surge issues. In this manuscript, an efficient, Neural-network predictive controller (NNPC) based variable speed compressor recycle system is modeled with an anti-surge control mechanism. When the mass flow is deficient, the recycle system is introduced, acts as a safety system, and feeds the compressed gas back to the upstream system. The different controllers like Proportional Integral Derivative (PID) controller, Fuzzy logic controller (FLC), and Neuro-fuzzy controller (NFC) based anti-surge control mechanism are also used in Compressor recycle system to compare the stability and performance metrics with NNPC. The NNPC based compressor system provides a better operating position and dynamic response with less error than other controllers-based compressor systems.

Keywords: Anti-surge; fuzzy logic controller (FLC); neuro-fuzzy controller (NFC); compressors; neural-network

Divya M. N, Narayanappa C.K, S L Gangadhariah and V Nuthan Prasad. “Design and Performance Analysis of Anti-Surge Control Mechanism for Compressor System using Neural Networks”. International Journal of Advanced Computer Science and Applications (IJACSA) 13.1 (2022). http://dx.doi.org/10.14569/IJACSA.2022.0130182

@article{N2022,
title = {Design and Performance Analysis of Anti-Surge Control Mechanism for Compressor System using Neural Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130182},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130182},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {1},
author = {Divya M. N and Narayanappa C.K and S L Gangadhariah and V Nuthan Prasad}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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