基于模糊多模型结构的飞行控制系统执行器故障诊断

为了解决一类飞行控制系统执行器故障诊断问题,本文将Takagi-Sugeno(T-S)模糊模型与多模型技术相结合,提出了一种模糊多模型方法。该方法的特点是:利用T-S模糊模型对非线性系统进行描述、建模;根据特定的故障,利用多模型技术建立了局部自适应未知输入观测器。通过所提出的诊断方法,当飞行控制系统的执行器发生故障时,故障参数能被在线逼近,使所设计的模糊自适应未知输入观测器模型与系统故障状态匹配,从而达到故障检测的目的。利用某飞机模型进行的仿真,表明了本文方法的有效性。

Actuator Fault Diagnosis Based on Fuzzy Multiple Model Structure for Flight Control Systems

The fuzzy multiple model scheme was develoiped based on a suitable combination of Takagi-Sugeno (T-S) fuzzy model and multiple model technique for actuator failure of a class of flight control systems. It is the characteristics that the nonlinear system is described and modeled by T-S fuzzy model; based on multiple model techynique for some faults, some locally adaptive unknown input observers are designed. When the actuator lock-in-place fault of the flight controlo system occures, the fault parameter can be approached on-line by the proposed diagnosis method, which makes the designed fuzzy unknown input observer model match to fault state of the system, to realize the purpose of detecting fault. The simulated results numerically by an aircraft example show satisfactory performance of the proposed algorithm.