基于模糊控制的智能故障诊断研究

Study of Intelligent Fault Diagnosis based on Fuzzy Control

飞机的机载设备故障多,且具有模糊性、复杂性的特点,故障与征兆之间的关系很难用精确的数学模型来表示。本文在介绍模糊控制器原理的基础上,设计了模糊控制规则和模糊控制表(规则库),并结合机载设备故障检测实例对控制器进行了验证。结果表明,基于模糊控制器的故障诊断方法能够有效检测机载设备故障。

Airborne equipment is easy to fault, and has a vague, complex features. It＇s difficult to use precise mathematical model to represent the relationship between faults and symptoms. On the base of fuzzy controller introduction,this paper designs the fuzzy control rules and fuzzy control table （rule base）, verifies the accuracy with an example of airborne equipment fault. The results show that the fault diagnosis method based on fuzzy controller can effectively detect the airborne equipment failure.