Method for designing multi-input system identification signals using a compact time-frequency representation

Abstract A flight test campaign for system identification is a costly and time-consuming task. Models derived from wind tunnel experiments CFD calculations must be validated and/or updated with data to match the real aircraft stability control characteristics. Classical maneuvers are mostly one-surface-at-a-time inputs need performed several times at each condition. Various methods defining very rich multi-axis maneuvers, instance based on multisine/sum of sines signals, already exist. new design method wavelet transform allowing definition in time-frequency domain has been developed. The compact representation chosen allows user define fairly complex few parameters. This demonstrated using simulated high-quality Airbus A320 dynamic model. System then this data, results show that aerodynamic parameters can still accurately estimated these simple maneuvers.