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为了提高航空发动机诊断过程中对噪声干扰和模型参数变化的鲁棒性,应用UIO(Unknown Input Ob-server)理论估计发动机动态系统的工作状态,通过干扰正交投影弱化外界干扰对状态估计的影响,处理了航空发动机执行机构的故障诊断问题。对航空发动机执行机构设计一组UIO观测器,其中每个UIO用于监测估计对应执行机构的故障偏移量,计算系统输出理论估计值与发动机实际测量信号间的残差数据,分析残差队列的幅值特性,实现航空发动机执行机构系统的故障检测和隔离。某型涡扇发动机上的实验结果表明,与Kalman滤波算法相比,UIO诊断方法更能鲁棒地检测和隔离出执行机构故障。
In order to improve the robustness of noise and model parameters in the process of aero-engine diagnosis, UIN (Unknown Input Ob-server) theory is used to estimate the working state of the engine dynamic system. Weakened the influence of external disturbance on the state estimation by interfering orthogonal projection , Dealing with the troubleshooting of aero-engine implementing agencies. A set of UIO observers is designed for aero-engine actuators. Each UIO is used to monitor and estimate the fault offset of the corresponding actuator. The residual data between the theoretical output of the system and the actual measured signal of the engine is calculated. Amplitude characteristics, to achieve aeroengine actuator system fault detection and isolation. The experimental results on a turbofan engine show that the UIO diagnostic method is more robust than the Kalman filter algorithm in detecting and isolating actuator faults.