This study investigates the design of an automatic carrier landing system that takes into account nonlinearity, internal parameter uncertainty, and external disturbance. The flight controller design utilises a modified data-driven model-free adaptive control (MFAC) by considering the changing rate of the tracking error in the controller. The MFAC system is implemented in the angular rate control subsystem, using the virtual equivalent dynamic linearization data model and the time-varying pseudo-partial derivative (PPD) estimate method. These algorithms are developed solely based on the input/output measurements of the carrier-based aircraft. The adaptive estimation method enhances the robustness to internal parameter uncertainty and external disturbance. The simulation results convincingly demonstrate the efficacy of the suggested controller in the automatic carrier landing system.
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