Modelling of Electrohydraulic System Based on Fuzzy Neural Network

A self-learning algorithm of fuzzy neural network based on subtractive clustering is presented for modelling of electrohydraulic system,which is a typical nonlinear system.Subtractive clustering algorithm is used to determine the initial structure of fuzzy neural network,in the process of learning of network,the result parameter is identified by least square method and the premise parameter is identified by back-propagation algorithm.In order to obtain input data and output data,the simulation model of electrohydraulic system is established and simulated using the AMESim sofeware,and the simulation result is transfered from AMESim to MATLAB,The proposed method is applied in modelling of electrohydraulic system.The simulation results and comparisions with other modelling techniques based on fuzzy neural network verify its validity.