Supervisor:
Southwest Ordnance Industry Bureau
Organizer:
Chongqing Ordnance Industry Society
Chongqing University of Technology
Chongqing University of Technology
Optimization design method for the architecture of turbofan engine control systems
| DOI: | 10.11809/bqzbgcxb2025.01.027 |
| Keywords: | aero engine; multi dynamic model; control system; control plan; transition state control |
| Abstract: | Optimizing the control system of turbofan engines is crucial for enhancing their performance and reliability. This study proposes an optimized architecture for the control system of turbofan engines, which employs rotor dynamics, gas mass and energy storage effects in the nacelle, and thermodynamic principles to establish a high precision component level model of turbofan engines. Drawing inspiration from the C MAPSS controller structure and integrating it with actual engine operation, the study optimizes the steady state and transient state controller architectures based on the Min Max framework. It introduces a control system architecture for acceleration schedules that does not consider maximum limits for N2 and Ps3, and for deceleration schedules that only consider the minimum limit of the fuel ratio unit (RU), and validates its effectiveness by integrating it into the constructed engine model. The simulation results demonstrate that, compared with the test data, the error of the constructed turbofan engine model at non design points is less than 1.1%. When thrust variations occur, the designed steady state controller exhibits a rapid response (with a settling time under 2 seconds) and achieves stability without error. During transient large thrust changes, the transient controller effectively and swiftly tracks acceleration and deceleration commands, while also efficiently preventing surge in both the high pressure compressor and the low pressure compressor. Furthermore, during deceleration processes, it successfully meets the requirement of the minimum fuel ratio unit (RU) being 0.004 2. This research offers crucial technical support for the high precision modeling of turbofan engines and the optimization design of their control systems. |
| Issue: | Vol. 46 No. 1 (2025) |
| Published: | 2025-01-31 |