The compressor system is widely used in aerospace, chemical industry, and other industrial fields. Modeling a compressor system is of great significance to the study of hydrodynamics and surge characteristics. Modular Dynamic System Greitzer (MDSG) modeling is a real-time model to simulate the dynamic response of complex compressor systems. An industrial air suction parallel compressor system with three compressors is modeled and simulated by the MDSG model, and the results are compared with the experimental results; the average error is less than 3%, which demonstrates that the MDSG model for the parallel compressor systems is reliable and accurate. Finally, a compression system with one valve and two valves is developed by the MDSG model, and the typical surge phenomena of two compression systems are dynamically simulated and discussed. The dynamic performance of the single compressor and parallel compressor systems can be described by the MDSG model.

Altitude Test Facility (ATF) compressor systems are widely used in aero-engine tests. These systems achieve the control of gas pressure and transport through complex operation processes. With advancements in the aviation industry, there is a growing demand for higher performance, greater safety, and more energy efficiency in digital ATF systems. Hybrid modeling is a technology that combines many methods and can meet these requirements. The Modular Dynamic System Greitzer (MDSG) compressor model, including mechanistic and data-driven modeling approaches, is combined with a neural network to obtain a BPNN-MDSG hybrid modeling method for the digital turbine system. The digital simulation is linked with the physical sensors of the ATF system to realize real-time simulation and monitoring. The steady and dynamic conditions of the actual system are simulated in virtual space. Compared with the actual results, the average error of steady mass flow is less than 3%, and the error of pressure is less than 1%. The average error of dynamic mass flow is less than 5%, and the error of pressure is less than 3%. The simulation and characteristic predictions are carried out in BPNN-MDSG virtual space. The anti-surge characteristics of the ATF system under start-up conditions are obtained. The full-condition anti-surge operation map of the system is obtained, which provides guidance for the actual operation of the ATF system.