Stability Analysis of a Nonlinear Compressor System Using an Active Adaptive Controller and Reliable MPC Against Surge with an Anti-Surge Valve

This paper analyzes a nonlinear compressor system to characterize its dynamic behavior and develop a control scheme that improves operational efficiency. A mathematical approach based on the Greitzer–Moore (GM) model is employed to predict the onset of surge and instability. Using phase-plane analysis and Jacobian linearization, the method identifies stable and unstable regions and captures the limit cycle within the unstable domain. The system is formulated in state-space form using the nonlinear GM model, and validation is performed using experimental data from a previously studied compressor. Because fixed-gain PID controllers exhibit limited robustness, an adaptive PD controller based on a Model Reference Adaptive System (MRAS) is designed. In addition, a reliable Model Predictive Control (MPC) controller is developed to enhance disturbance rejection. Simulation results demonstrate that both the adaptive PD and MPC controllers achieve stable operation under challenging conditions.

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Publication Details

Journal
Applied Sciences
Published
2026-05-08
DOI
https://doi.org/10.3390/app16104616
Primary Topic
Turbomachinery Performance and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Stability Analysis of a Nonlinear Compressor System Using an Active Adaptive Controller and Reliable MPC Against Surge with an Anti-Surge Valve

Seyed Mohammad Hosseindokht, Jose Matas, Jorge El Mariachet Carreño
Applied Sciences
Turbomachinery Performance and Optimization
article

Stability Analysis of a Nonlinear Compressor System Using an Active Adaptive Controller and Reliable MPC Against Surge with an Anti-Surge Valve

Seyed Mohammad Hosseindokht, Jose Matas, Jorge El Mariachet Carreño
article en

Abstract

This paper analyzes a nonlinear compressor system to characterize its dynamic behavior and develop a control scheme that improves operational efficiency. A mathematical approach based on the Greitzer–Moore (GM) model is employed to predict the onset of surge and instability. Using phase-plane analysis and Jacobian linearization, the method identifies stable and unstable regions and captures the limit cycle within the unstable domain. The system is formulated in state-space form using the nonlinear GM model, and validation is performed using experimental data from a previously studied compressor. Because fixed-gain PID controllers exhibit limited robustness, an adaptive PD controller based on a Model Reference Adaptive System (MRAS) is designed. In addition, a reliable Model Predictive Control (MPC) controller is developed to enhance disturbance rejection. Simulation results demonstrate that both the adaptive PD and MPC controllers achieve stable operation under challenging conditions.

Applied SciencesVol. 16(10)
Universitat Politècnica de Catalunya (ES)
Affordable and clean energy
Openalex Percentile: Top 2%
Turbomachinery Performance and Optimization
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