In order to guarantee system tracking performance as well as economize system communication resources effectively, an adaptive fuzzy trigger compensation control method is investigated for the uncertain nonlinear systems with input saturation based on the Backstepping technology. Due to factors such as security requirements or physical limitations, the phenomenon of input saturation often unavoidably exists in the practical physical system, which adversely affects the control performance and stability of the system. Aiming to effectively solve this problem, a smooth hyperbolic tangent function is integrated into the adaptive control design process to realize the compensation of the system input saturation constraint. In addition, the practical system model is often difficult to establish accurately and unknown uncertain parts will inevitably exist in the system description. Therefore, fuzzy logic systems(FLS) are applied to approach the unknown and uncertain parts of the system. Aiming to economize the communication resources, an event-triggered control strategy based on relative threshold is introduced to reduce the transmission pressure of the considered system. Through the theoretical analysis of Lyapunov stability, all signals of the system are semi-globally consistent and ultimately bounded. Simulation results verify the effectiveness of the proposed method.