中文摘要：

提出了一种基于模糊逻辑的航空发动机数控系统多故障的识别方法.首先采用Takagi-Sugeno（T-S）模糊模型描述一种涡喷发动机数控系统的非线性模型,然后应用全解耦奇偶方程进行多故障的检测和隔离,并结合卡尔曼滤波器识别出传感器和执行器故障参数.仿真结果表明,针对传感器和执行器同时发生故障的情况,此方法能有效检测故障,并能准确识别出故障参数.

英文摘要：

A method for multiple faults identification of aircraft engine digital control system based on fuzzy logic was presented. First of all, a nonlinear model of the digital control system of some turbo-jet engine was built up with introduction of Takagi-Sugeno（T-S） fuzzy model, and then full-decoupling parity equation was applied to detect and isolate the multiple faults, in combination with Kalman filter in identifying the fault parameters of sensors and actuators. The simulation results show that this method can effectively detect and isolate the multiple faults. Also, it can precisely identify the parameters of the faults.