Failure Detection and Isolation in Flight Control System Based on the Intelligent Data Fusion Technology
Jianhua Deng · Flight Dynamics · 2009
In order to enhance the signal-to-noise ratio of weak information of residual error,the wavelet frequency-signal analyzing technology is adopted to separate the non-steady noise.The new failure detection algorithm with intelligent information fusion is proposed,in which the model parameter is automatically adjusted in non-failure with fuzzy logic,then the non-steady signal's growth of residual error is suppressed.The artificial neural network is used to eliminate the influence of the non-linear deviation signal on the residual error decision,so the applicable scope of algorithm with failure detection and isolation is expanded.The simulation results indicate that,this algorithm's technical performance is superior,and the improvement effect is obvious.