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.
Highlights
The centrifugal Compressor is used in most industries like oil, aero-space, and gas-plant to increase pressure and oil production
The Compressor recycle system with an anti-surge control mechanism using a Proportional Integral Derivative (PID) controller with different controllers is presented
The Neural-network predictive controller (NNPC) based Compressor recycle system is simulated with the following assumption
Summary
The centrifugal Compressor is used in most industries like oil, aero-space, and gas-plant to increase pressure and oil production. The model uses open-loop feed-forward and closedloop feedback control mechanisms in the throttle valve area to control the Pressure and mass flow These control mechanisms are scheduled and use in rotating stall and surge avoidance [5]. The Fuzzy logicbased surge control mechanism [9] is introduced for the Moore-Greitzer model with constant speed in the compressor system, stabilizing the different operating conditions and extending the stable line next to the surge line. The active surge control with variable speed mechanism [10] in centrifugal Compressor is designed to analyze the different performance metrics with better improvement than the Gravdahl et al [1] work. The Neural-network predictive controller (NNPC) based anti-surge control mechanism is modeled for the Compressor recycle system to improve stability and prevent active surges.
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