@inproceedings{96f63d9b76e34993990010c451b2a5e7,
title = "Study on double motor synchronous system of neural network control",
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 = "Decoupling control, Neural network, Speed, Tension, Two-motor synchronous system",
author = "Xingqiao Liu and Xiuwen Liang and Chong Chen and Feng Ji",
year = "2008",
doi = "10.1109/WCICA.2008.4593201",
language = "English",
isbn = "9781424421145",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "1829--1833",
booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",
note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",
}