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.

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}
}