The excitation of road surface causes the vehicle to produce bump and vibration in the traveling process, affects the automobile ride comfort. This study established a 1/4 car active suspension model, proposed a control strategy based on fuzzy neural network. The design made full use of strong robustness of fuzzy control and fast convergence of neural network, could real-time adjust system parameters. Tests and simulation analyses of suspension dynamic travel, wheel dynamic changes in load, and the vertical acceleration of the body research were carried out. The results show that the proposed control strategy can effectively reduce the vibration caused by road excitation and produce, improve vehicle handling stability, ride comfort, strong robust, has certain reference significance.