Title :
Identification of Speed and Tension for Multi-Motor Synchronous System Based on LMN
Author :
Liu, Guohai ; Zhang, Jinzhao ; Pan, Tianhong
Author_Institution :
Sch. of Electr. & Inf. Eng., JiangSu Univ., Zhenjiang
Abstract :
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.
Keywords :
fuzzy set theory; machine control; multivariable control systems; nonlinear control systems; pattern clustering; synchronous machines; velocity control; LMN; fuzzy C-means clustering algorithm; local model networks; multimotor synchronous system; multivariable nonlinear coupling system; variable frequency speed-regulating synchronous system; Adaptive filters; Computer networks; Filtering theory; Frequency; Fuzzy systems; Neural networks; Nonlinear dynamical systems; Nonlinear systems; Performance analysis; Sensorless control; Identification; Local model networks; Satisfactory fuzzy clustering; Speed; Tension; Two-motor synchronous system;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.82
