Identification of Speed and Tension for Multi-Motor Synchronous System Based on LMN

Two-motor variable frequency speed-regulating synchronous system is a multivariable nonlinear coupling system. In order to estimate speed and tension of this system more effectively, a method of modeling based on local model networks (LMN) is given. Through using correlative testing signal to drive two-motor synchronous system firstly, series of output response about speed and tension are obtained.Then fuzzy C-means clustering algorithm is used to cluster the data of input-output according to the satisfactory performance index. Finally ,the sum of linear local model identification model for speed and tension is built . The simulation results are presented to demonstrate the validity of the proposed the method.