Multi-motor synchronous system based on neural network decoupling control

Author

Xingqiao, Liu ; Chong, Chen ; Guohai, Liu ; Liang, Zhao

Author_Institution

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

fYear

2008

fDate

16-18 July 2008

Firstpage

257

Lastpage

260

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 the controller designed with better dynamic and static characteristics and following performance.

Keywords

adaptive control; induction motors; neurocontrollers; synchronous motors; three-term control; AC induction motors; RBF neural network; adaptive PID controller; adaptive neuron decoupling compensator; current-tract SPWM transducers; mathematical model; multimotor synchronous system; multivariable system; neural network controller; neural network decoupling control; synchronization 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

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605043

Filename

4605043