越来越多的工业液压控制系统对控制精度和响应速度提出高要求,针对按照预设流量和压力进行精确控制的液压系统,阐述一种基于自组织双模糊神经网络的闭环控制模型,并对其中的系统模型、控制模型、神经网络模型和执行机构模型四个关键点进行详细阐述。 A growing number of industrial hydraulic control systems place high demands on control accuracy and response speed. Aiming at the hydraulic system that is precisely controlled according to the preset flow rate and pressure, a closed-loop control model based on self-organizing two-fuzzy neural network is presented. The four key points of the system model, control model, neural network model and actuator model are elaborated.