Adaptive Particle Filter Algorism for Flutter Test with Variable Progression Speed

Adaptive Particle Filter Algorism for Flutter Test with Variable Progression Speed

Blog Article

Signal collected in flutter test with variable progression speed (FTVPS) is usually non-stationary, both its frequency and amplitude changed dramatically with time, especially in the sub-critical state.The common non-stationary signal processing method, such Display Board as time-varying parameter modeling can hardly analyze and track the mode of signal precisely under high non-stationary degree.Therefore, an adaptive particle filter method based on non-stationary degree is proposed.The tracking performance under high non-stationary degree of this method is verified by simulation experiment data.The results indicate that Beach towels the method proposed in this thesis has better precision under high non-stationary degree when compared with usual particle filter.