In the context of the high control performance requirements for electro-hydraulic actuator(EHA)in aireraft, traditional control strategies often struggled with parameter adaptation and the chattering problem commonly associated with sliding mode control.To balance chattering suppression and control performance,and to further enhance control stability and precision,a novel neural network fuzzy sliding mode controller(NN-FSMC)was proposed.First,an integral sliding mode controller was designed for the position loop of the EHA.Next,a fuzzy control strategy was used to tune the key parameters in the sliding mode reaching law.Then,the adaptive optimization capability of a BP neural network was employed to further mitigate chattering in the sliding mode control.Finally,simulation experiments were conducted on the MATLAB/Simulink platform,comparing the position tracking performance under different control algorithms.The simulation results demonstrated that NN-FSMC effectively improved the response speed and position tracking accuracy of the EHA system,and provided a smoother response under varying frequencies.