Study on double motor synchronous system of neural network control

Author

Liu, Xingqiao ; Liang, Xiuwen ; Chen, Chong ; Ji, Feng

Author_Institution

Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang

fYear

2008

fDate

25-27 June 2008

Firstpage

1829

Lastpage

1833

Abstract

Taking the multi-variable of synchronization system of the AC induction motors as study object, focusing on the system of induction motors powered by current-tract SPWM transducers, the mathematical model of the system of two motors is established. Combining decoupling technology of adaptive neuron decoupling compensator, RBF neural network adaptive PID controller is adopted to design the neural network controller of two-motor synchronous system. The experiment results show that the two-motor synchronous system is decoupled based on neural network control.

Keywords

compensation; control system synthesis; induction motors; machine control; multivariable control systems; neurocontrollers; radial basis function networks; synchronous motors; AC induction motors; RBF neural network adaptive PID controller; adaptive neuron decoupling compensator; control design; current-tract SPWM transducer; decoupling technology; double motor synchronous system; mathematical model; multivariable system; neural network control; synchronization system; two-motor synchronous system; AC motors; Adaptive control; Control systems; Induction motors; Mathematical model; Neural networks; Neurons; Programmable control; Synchronous motors; Transducers; decoupling control; neural network; speed; tension; two-motor synchronous system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593201

Filename

4593201