<p>A fixed-time prescribed performance dynamic-memory event-triggered control strategy is proposed for fixed-wing UAV operating under wind disturbances, while ensuring enhanced convergence speed and communication efficiency. First, a fixed-time prescribed performance function is introduced to constrain the convergence boundary and settling time of the system tracking error. Building upon this, a fixed-time controller utilizing a backstepping method is designed to further reduce convergence time and suppress overshoot. Subsequently, an adaptive disturbance estimator based on state quantities is constructed to achieve rapid and precise estimation of time-varying external disturbances. Considering the input saturation issues during actual flight operations, a saturation compensation scheme based on a filtering mechanism is proposed. To effectively reduce control communication resource consumption while ensuring system tracking performance, a dynamic memory event-triggered mechanism is introduced in the velocity subsystem. Theoretical analysis demonstrates that all signals in the closed-loop system achieve consistent boundedness within the fixed time, and the tracking error converges rapidly to a neighborhood near zero. Experimental and comparative simulation results validate the effectiveness and superiority of the proposed control scheme under disturbance and input saturation conditions.</p>