LAUSR

Abstract A novel method based on Hilbert Huang Transform (HHT) for analyzing the non-linear and non-stationary of Aerial Planting Projectile (APP) flight data signal is presented. Also an image processing method is used for acquire attitude signals of projectile. Experimental test setup includes an electrical fan, high speed digital camera and projectile that the images of projectile falling down against of fan flow is captured. The frequency components of the projectile attitude signal along separation phase and free falling are complicated. Empirical Mode Decomposition (EMD) can decompose the signal into Intrinsic Mode Functions (IMFs). After a Hilbert transform, the instantaneous frequency and damping ratio of each IMF is obtained to get the physical meaning of each IMF. Analysis results indicate that the flight modes of APP are identified with high accuracy.