可编程逻辑控制器变频调速系统神经网络逆控制

神经网络逆系统方法是近年来提出的一种新型的控制算法,它结合了神经网络与逆系统的优点,使其具有很强的应用价值。可编程逻辑控制器(PLC)以其优异的性能在变频器加异步电机构成的变频调速系统中得到了广泛的应用,但对于异步电机这一复杂控制对象,需要进一步提高其控制性能。使用神经网络逆系统方法完成了PLC变频调速系统速度环的线性化,并进行闭环控制。实验结果表明,与传统线性控制方法相比,采用神经网络逆控制的PLC变频调速系统的运行性能得到了显著提升,体现了神经网络逆控制的工程实用性。

Neural Network Inverse Control in PLC Variable Frequency Speed-regulating System

Neural network inverse control, which combines the merits of neural network control and inverse control is a novel control method with great applicable value in recent years. PLC(programmable logic controller ) is widely used in the variable frequency speed-regulating system which consists of an induction motor and a general inverter. However, for the complicated control objects, the performance is not good enough to meet the needs of speed-regulating. In this paper, by using neural network inverse control technique, the speed subsystem of the variable frequency speed-regulating system has been linearized, and then a linear close-loop adjustor is designed. Compared with the traditional linear control methods, the results of experiments have shown that the speed-regulating performances can be improved greatly and the practicability of neural network inverse control is embodied.