基于ANFIS的立磨振动控制模型辨识研究

Identification of Vertical Roller Mill System Vibration Based on ANFIS

立磨是工业系统常用的粉磨设备,但由于其具有复杂时变性和复杂的非线性的特点,很难建立精确的数学模型。本文利用自适应模糊神经网络推理系统(ANFIS),并结合各参量之间的先验知识,建立了立磨系统振动的模糊神经网络模型。仿真结果表明,该方法简单有效,并具有很好的泛化能力。

Vertical roller mills are widely used for comminuting in the industry,but with the time-varying and nonlinear system,it is difficult to identify the precise model of vertical roller mill system.This paper applies the adaptive network-based fuzzy inference system（ANFIS）,by incorporating priori knowledge,to set up a neural network model of vertical roller mills.Results of the simulation prove that the method is simple and effective.