Optimal Slip Rate Tracking of Aircraft Anti‐Skid Braking System Based on Non‐Singular Fast Integral Terminal Sliding Mode Control

Aiming at the characteristics of strong time‐variation, strong coupling, and unknown runway environment inherent in the dynamics of the aircraft anti‐skid braking system, this article proposes a method for tracking the optimal slip rate and online runway identification for aircraft based on a non‐singular fast integral terminal sliding mode control strategy and fuzzy inference. First, the relationship between the optimal slip ratio and runway binding coefficient is used to establish an aircraft anti‐skid braking system model under dynamic speed conditions. On this basis, a non‐singular fast integral terminal sliding mode control algorithm is proposed and a fractional‐order exponential convergence rate is designed in order to quickly track the optimal slip rate and further eliminate chattering. Then, an online fast runway identification method based on fuzzy inference is proposed by designing a binding coefficient estimation. Finally, it is proved by simulation that the control method can further suppress the system chattering and improve the dynamic response quality, while the runway identification algorithm can identify different runways in real time, thus improving the system braking efficiency.