Title :
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
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;
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
DOI :
10.1109/WCICA.2008.4593201
