Dynamic Performance Maintenance Control of Turboshaft Engine Based on Guide Vane Angle Optimization
摘要
The performance degradation that occurs in an aero-engine is extremely detrimental to the acceleration process. Control schedules designed for rated engines often fail to meet the demands of the acceleration process after degradation occurs. To mitigate the deterioration of engine acceleration performance due to degradation, a dual-loop control schedule optimization structure is proposed to generate acceleration control commands for degraded engines. The control schedules include the compressor guide vane angle (GVA) command based on Bézier curves optimized with the Gray Wolf optimization algorithm in the outer loop and the acceleration control fuel command based on the corrected fuel-to-air ratio (FAR) optimized by the generalized predictive control method in the inner loop. The effect of degradation on engine acceleration performance is analyzed, and a corresponding degradation estimator based on the XGBoost algorithm is designed. The commands of the corrected FAR and the GVA are scheduled based on the estimated degradation and power turbine speed. In addition, a dynamic performance maintenance control (PMC) structure is designed to apply this control schedule. The ACS optimization results show that the optimal FAR and the GVA commands increase by 3% with the degradation. Beisdes that, the control simulations in two degradation modes show that the acceleration performance deterioration can be mitigated, where the acceleration time difference between the degraded and the rated engine is allowed to be less than 10%.