两变频调速电机系统的神经网络逆同步控制  

Neural Network Inverse Synchronous Control of Two-motor Variable Frequency Speed-regulating System

作　　者：戴先中[1] 刘国海[2] 

机构地区：[1]东南大学自动控制系,南京210096 [2]江苏大学电气信息工程学院,镇江210013

出　　处：《自动化学报》2005年第6期890-900,共11页Acta Automatica Sinica

基　　金：国家自然科学基金(60174004);江苏省自然科学基金(BK2003049)资助

摘　　要：针对以恒压频比工作方式的两台变频器+感应电机系统的特点,导出了两变频调速电机系统的统一数学模型,并证明该系统可逆.进一步采用静态神经网络加积分器构成的动态神经网络来构造该逆系统,并将神经网络逆系统与两变频调速电机系统相串联复合成由速度和张力子系统组成的伪线性系统,实现速度和张力的解耦.然后分别对速度和张力子系统设计线性闭环控制器从而实现对两变频调速电机系统的高性能控制.实验结果表明系统具有较好的动、静态性能和较强的抗负载扰动的能力,提出的神经网络逆同步控制方法为解决交流多电机系统解耦控制的难题提供了新思路.In accordance with characteristics of V/F inverter and two-motor system, the united mathematic model of two-motor variable frequency speed-regulating system with V/F is given. The system is proved to be invertible and the inverse system can be constructed by a dynamic neural network consisting of a static neural network and an integrator. A linear sub-system of speed and a linear sub-system of tension can be obtained by combining the inverse neural network with the two-motor variable frequency speed-regulating system. Speed and tension control of two-motor variable frequency speed-regulating system can be decoupled by the neural network inverse synchronous control method, and high performance control can be obtained by designing linear close-loop adjustors of speed and tension. Experiments show that the system has good static and dynamic performances and high anti-disturbance of load. Thus a difficult problem of multi-motor synchronous decoupling control is solved.

关 键 词：解耦控制 同步控制 感应电机 变频器 神经网络 逆系统 

分 类 号：TM921.5[电气工程—电力电子与电力传动]