Analysis of the Coupling Mechanism of Liquid Cylinder Vibration Based on the Low-Speed Operating Conditions of Neural Network Model

The connection between the friction negative and related damping is on the low-speed hydraulic cylinder, which will generate the vibration and influence of the hydraulic cylinder, which inhibits the accuracy of the hydraulic equipment. In order to effectively solve this problem, this paper creates a neural network model, considering the negative damping and related damping effects under low-speed conditions, and intended the coupling mechanism of negative damping and related damping. Based on the converter of the hydraulic cylinder, the nonlinear stiffness characteristics of the sensor hydraulic cylinder were analyzed, and the requirements of the hydraulic cylinder collection were obtained according to the requirements of the energy star collection of the liquid voltage star, and the equivalent of the sensor liquid pressure cylinder was obtained. At the same time, the sensor system implements feedback control on vibration velocity and displacement based on changes in piston position, in order to analyze the coupling mechanism of hydraulic cylinder vibration under low-speed operating conditions. The results of the study show that the function of the feedback controller is systematic, and the antipity control contains the possibility of minimizing serious damage and can effectively improve the efficiency and stability of the system. In the actual manufacturing process, we studied the vibration coupling effect of the liquid cylinder under low-speed conditions, proved the change characteristics of the vibration amplitude and frequency of the hydraulic cylinder, and revealed the related damping in the vibration.