Online identification of missile in frequency domain based on Chirp-Z transform

Conventional methods face problems when dealing with attitude control in complex environment due to the lack of adaptive ability. Therefore, attention needs to be paid to obtain accurate system stability margin in real time and design an adaptive attitude controller. An online stability margin identification method based on Chirp-Z transform is proposed in this paper to identify amplitude and phase curves online and analyze uncertainty under noise. It has been verified that identification results are in good agreement with true values and have strong adaptability to noise. Besides, influences of several typical excitation signals are analyzed and compared to offer optimal signal. Finally, closed-loop simulation proves application to the missile in flight and can greatly support online attitude controller design.