基于PLC的两电机同步系统的神经网络逆控制  

Neural Network Inverse Control in PLC of Two-motor Synchronous System

作　　者：卢美鸿[1] 刘国海[1] 王富良[1] 康梅[1] 

机构地区：[1]江苏大学

出　　处：《电气传动》2007年第11期50-54,共5页Electric Drive

基　　金：江苏省自然科学基金资助项目(BK2003049);教育部博士点基金资助项目(20050299009);江苏大学校基金资助项目(JDG03020)

摘　　要：PLC控制系统以其超高的运行稳定性,结构简单,操作方便,维护费用低廉等诸多优点,使其在工业现场中得到了大量的应用。以多变量、非线性、强耦合的两电机同步控制系统为研究对象,采用静态神经网络加积分器来构造两电机同步控制系统的逆系统,将此逆系统与原系统相串联构成复合伪线性系统。即两电机同步系统被线性化且已解耦成速度和张力两个相对独立的系统,再分别设计线性闭环调节器对速度环和张力环进行控制。实验结果证明了将神经网络逆系统方法与现在工业中主流控制器PLC相结合,可以实现两电机同步调速系统的解耦控制,发挥其经济、社会效益,是一项很有意义的工作。PLC（programmable logic controller） is widely used in many industrial environment by its many merits stability such as, simple structure, the ease of operation, the maintenance cost is inexpensive and so on. The multi-variables, nonlinear, strongly coupled, two-motor synchronous control system was the research object, using the static ANN and an integrator constructed a neural network inversion with the two-motor and combining it with the two-motor synchronous system itself, a pseudo-linear system was completed. Namely two-motor synchronous system was decoupled into two independent linear subsystems：speed and tention subsystem,and then a linear closed-loop adjustor was designed to control each of the systems. The results of experiments show that the two-motor synchronous system are decoupled based on a neural network inverse system combined with PLC, displays its economic and social benefit, it is an very much significant work.

关 键 词：PLC 两电机同步系统 逆系统 神经网络 解耦控制 张力 速度 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]