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基于神经网络广义逆两电机同步控制研究
引用本文:刘佳,屈宝存.基于神经网络广义逆两电机同步控制研究[J].电子设计工程,2013(22):159-161.
作者姓名:刘佳  屈宝存
作者单位:辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001
摘    要:基于神经网络广义逆系统,提出二自由度的内模控制。来改善两电机同步系统的解耦控制性能和鲁棒性能。提出先对原来系统的数学模型进行广义逆的存在性分析,进而推出原系统广义逆的数学模型,再用神经网络逼近广义逆,接在原系统前组成具有等价效果的伪线性系统,来实现系统的解耦线性化。有利于系统的综合。然后对广义伪线性系统引入二自由度内模控制,以保证系统的鲁棒稳定性。

关 键 词:两电机系统  神经网络  广义逆  内模控制

Two motor synchronization control based on neural network inverse
LIU Jia,QU Bao-cun.Two motor synchronization control based on neural network inverse[J].Electronic Design Engineering,2013(22):159-161.
Authors:LIU Jia  QU Bao-cun
Affiliation:(School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China)
Abstract:In order to improve the non-linear and strong coupling of the two motors synchronization system decoupling control performance and robust performance, the proposed two-degree-of-freedom intemal model control based on neural network generalized inverse system. First ,mathematical model of the original system, the existence of the generalized inverse analysis, and then launch the mathematical model of the generalized inverse of the original system, then the dynamic neural network approach to the generalized inverse model, which is connected to the original system before generalized pseudo-linear system to implement the system the decoupled linear stability as well as a comprehensive system. Then introduced generalized pseudo-linear system with two degrees of freedom internal model control, to ensure the robust stability of the system.
Keywords:two motor system  neural network  generalized inverse  internal model control
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