The Application of Wavelet Transform to Fault Detection of Aircraft Control Surface

Abstract

Control surface failure which can change the structure of the motion equations is a difficult problem in fault detection. To this failure, the wavelet analysis method is presented to detect fault signal in accordance with wavelet local refinement properties. Wavelet basis selection is one of the key issues in the wavelet analysis method. According to the rules of the wavelet basis, a proper selection is given. Subsequently, fault detection algorithm based on wavelet transform is proposed. Finally, simulation is carried out based on the stuck of elevator of F16 fighter. In the process of simulation, wavelet basis db4 is selected and Mallat algorithm, 3-layer decomposition is adopted. The results show that wavelet analysis method can effectively detect the fault occurrence time.