Fuzzy-Adaptive Sliding Mode Control With Pitch Transient Prescribed Performance Control for Nacelle Suspension

Abstract

This article proposes a fuzzy-adaptive sliding mode suspension control with pitch prescribed performance control (PPC), capable of addressing time-varying interferences and safety constraints, while achieving the desired pitch prescribed faster transient performance and suspension accuracy. First, the dynamic adjustment prescribed performance function (DAPPF) is introduced as a practical method for adjusting the constraint boundary to account for external disturbances and measurement noise, thereby resolving singularity issues. Then, the pitch PPC with DAPPF is designed to enhance pitch transient response and provide virtual pitching control input for the suspension control model. Subsequently, a fuzzy adaptive terminal sliding mode controller (TSMC), employing a hyperbolic tangent function and fractional power techniques, is implemented to ensure the nacelle suspension accuracy and improved transient dynamics. Stability analysis based on the Lyapunov function shows that all closed-loop signals converge to a stable region in finite time, with the pitching state strictly confined within the prescribed performance function (PPF). Finally, the proposed method is successfully implemented on the maglev wind yaw system experimental platform, demonstrating superior performance compared to other methods.