基于神经网络的卷染机控制系统设计

Design of Control System of Jigger Based on Neural Network

针对高温高压工作环境下卷染机的恒速度恒张力控制问题,采用交流变频调速传动系统,选择基于神经网络的改进的比例、积分、微分控制算法作为卷染机自适应卷速和张力控制的实现算法,进行控制系统设计。本算法利用逆向反馈神经网络的强迭代学习能力,实现了控制算法中的比例参数、积分参数和微分参数的自适应调节,以达到对卷染机卷染速度和卷轴张力的长时间恒定控制。经过实际测试,本控制系统可以有效控制高温高压环境下卷染机的染色过程,达到良好的染色效果。

In order to solve the problem of constant speed and constant tension control of jigger under high temperature and high pressure,AC variable frequency speed control system is chosen as the main architecture,and the improved proportional,integral and differential control algorithm based on neural network is selected as the implementation algorithm to design the adaptive control system of jigger.To achieve the longtime constant control of the dyeing speed and the reel tension of jigger,the algorithm uses the strong iterative learning ability of the back propagation neural network to realize the adaptive adjustment of the proportional parameter,integral parameter and differential parameter in the control system.Through actual test,the control system can effectively control the dyeing process of jigger under high temperature and high pressure and hence achieve a good dyeing effect.