航空发动机执行机构故障智能容错控制研究OA

Fault-tolerant control is a crucial technology that significantly enhances the safety of control systems when actuators malfunction in high-temperature,high-pressure,and high-intensity vibration environments.Tra-ditional fault-tolerant control suffers from issues of passivity and preventive,leading to overly conservative en-gine performance under normal conditions.Therefore,there is an urgent need for research on more advanced in-telligent fault-tolerant control.Taking typical faults in the actuators of a three-bypass variable cycle engine(VCE)as an example,intelligent fault-tolerant control strategies and methods at the engine control system level are studied.By establishing an engine model,typical faults are analyzed,a deep reinforcement learning TD3 al-gorithm fault-tolerant controller is designed,and trained,a digital simulation platform for the control system is built and digital simulations are conducted.The results show that the designed controller can achieve good fault-tolerant control effects with a performance degradation of less than 10%.