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Simulation and Research on Position Servo Control System of Opposite Vertex Hydraulic Cylinder based on Fuzzy Neural Network

机译:基于模糊神经网络的对角液压缸位置伺服控制系统仿真研究。

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Taking the opposite vertex hydraulic cylinder system as the research subject, this paper presents a control method based on fuzzy neural network (FNN), which leads to the instability of loading force and the insensitivity of position response due to its vulnerability to external interference. In this paper, the mathematical model of electro-hydraulic servo hydraulic system is established firstly, and the hydraulic system model and control model are built successively by using the software tools of Matlab/simulink, amesim. The paper applies the fuzzy neural network control strategy to the electro hydraulic force position feedback servo control simulation. After the joint simulation, the results are compared with the common pid control results. The results show that the FNN strategy achieves the expected control effect, which can effectively reduce the overshoot of the system and accelerate the response of the system.
机译:以对立液压缸系统为研究对象,提出了一种基于模糊神经网络(FNN)的控制方法,由于其易受外界干扰,导致加载力不稳定,位置响应不灵敏。本文首先建立了电动液压伺服液压系统的数学模型,并使用Amatim的Matlab / simulink软件工具相继建立了液压系统模型和控制模型。本文将模糊神经网络控制策略应用于电液力位置反馈伺服控制仿真中。联合仿真后,将结果与常见的pid控制结果进行比较。结果表明,FNN策略达到了预期的控制效果,可以有效减少系统的过冲,加快系统的响应速度。

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