Title :
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
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;
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
DOI :
10.1109/CHICC.2008.4605043
