Autopilot design method based on fuzzy linear active disturbance rejection control

Aircraft that operate across a wide range of flight regimes face numerous nonlinearities and uncertainties due to the wide variety of cross-domain aerodynamic environments and external disturbances. Such challenges can cause significant deterioration to the performance and robustness of traditional autopilot systems. Therefore, this research aims to develop a control methodology that provide stable attitude control and manage all levels of dynamics of the flight conditions. To achieve these objectives. a fuzzy linear active disturbance rejection control (LADRC) approach is developed. This methodology uses fuzzy logic algorithms to dynamically adjust and optimize, in real-time, LADRC parameters such as observer bandwidth, gain, and disturbance estimates, based on actual operating conditions. This

real-time adjustment increases the LADRC's ability to adapt to unknown complex disturbances. To develop the control approach. the stability of the proposed fuzzy control is analyzed using Lyapunov theory. To support the proposed approach. this research conducts intensive comparative simulations that provide vital evidence in favor of this control approach. For the purposes of evaluating the proposed control approach, we focus on control-signal quality, dynamic response, and disturbance rejection. We conclude that the proposed approach maintains its control performance and tracking accuracy under various aerodynamics parameter and high external disturbance.

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