Real-Time Estimation of a Multi-Stage Centrifugal Compressor Performance Map Considering Real-Gas Processes and Flexible Operation
Maik Gentsch (1), Rudibert King (1) ((1) Technische Universit\"at, Berlin, Department of Measurement, Control, Hardenbergstr. 36a, 10623, Berlin, Germany)

TL;DR
This paper introduces a real-time monitoring and map estimation method for multi-stage centrifugal compressors that accounts for real-gas effects and transient operations, enhancing fault detection and performance tracking.
Contribution
A novel dynamic model incorporating real-gas equations and a recursive map estimation algorithm for real-time compressor performance monitoring.
Findings
Successful simulation of a two-stage CO2 compressor demonstrating the scheme's effectiveness.
Effective detection of performance map alterations indicating potential faults.
Enhanced monitoring capability during transient and steady operating conditions.
Abstract
This paper contributes to modeling and supervision of multi-stage centrifugal compressors coping with real-gas processes and steady to highly transient operating conditions. A novel dynamic model is derived, and the incorporation of the generic Lee-Kesler-Pl\"ocker real-gas equation of state and its derivatives is presented. The model allows for embedding arbitrarily shaped performance maps, based on state-of-the-art polytropic change-of-state compressor characteristics. As the validity of these maps is a key issue for simulation and model-based monitoring, performance maps are treated as time-variant, and their shape is to be identified and monitored during operation. The proposed real-time map estimation scheme comprises an Unscented Kalman Filter and a newly proposed algorithm, referred to as Recursive Map Estimation. The combination yields a novel parameter and state estimator,…
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