基于T-S模糊模型的飞控系统故障诊断研究  

On T-S Fuzzy Observer Based Fault Diagnosis for Flight Control System

作　　者：李洁[1] 姜斌[1] 刘春生[1] 

机构地区：[1]南京航空航天大学自动化学院,江苏南京210016

出　　处：《控制工程》2009年第S3期71-73,76,共4页Control Engineering of China

基　　金：国家自然科学基金资助项目(90816023)

摘　　要：T-S模糊模型是一种用局部线性化的模型来描述动态非线性系统的方法。针对具有不确定性的非线性系统,研究了基于T-S模糊模型的故障诊断方法。首先设计了一种带有补偿项的模糊观测器,以实际测量输出与模糊观测器输出之差作为残差信号来检测系统所发生的故障,并给出一种实现故障估计的算法以及系统稳定性所满足的不等式约束条件。最后针对飞控系统这一典型的非线性系统,以某型歼击机的数学模型为例,利用故障诊断方法对该模型的纵向运动进行了仿真研究,结果表明,提出的故障诊断方法在存在不确定因素的条件下能有效地实现故障的检测与估计。T-S fuzzy model is used to describe the non-linear system with multi-section linearization method.A fault diagnosis method is presented for uncertain non-linear system.Firstly,a T-S fuzzy observer with complementary function is designed.The residual generated by comparing the measurement and estimated output can be used to detect the fault.Then an algorithm is proposed to estimate the fault and its stability constraint condition is presented.At last,taking the model of an aircraft as an example,longitudinal motion of the aircraft is simulated by the presented fault diagnosis method.The simulation results demonstrate the effectiveness of the proposed fault detection and estimation scheme even under the uncertain case.

关 键 词：故障诊断 T-S模糊观测器 飞控系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]