Active Surge Control of the Recycle Compression System By Hybrid Adaptive Controller

Aribi, Yacine; Boushaki, Razika Zammoum; Loubar, Hocine

doi:10.1109/icpea1.2019.8911182

Cited by 1 publication

(1 citation statement)

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“…The Surge control with different speeds and also with different throttle opening sizes are analyzed with simulation results. Aribi et al [24] present the Recycle compressor system for active surge control using a hybrid adaptive controller. The PID with auto tuning Fuzzy interface system (FIS) controls the operating points under the Surge line at different speeds.…”

Section: Related Workmentioning

confidence: 99%

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

N¹,

C.K²,

Gangadhariah³

et al. 2022

IJACSA

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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.

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Section: Related Workmentioning

confidence: 99%