基于状态预测的塑料薄膜张力反馈控制器设计  

Design of Plastic Film Tension Feedback Controller Based on State Prediction

作　　者：周奎 ZHOU Kui(Jiangsu Vocational College of Electronics and Information,Huaian 223003,China)

机构地区：[1]江苏电子信息职业学院,江苏淮安223003

出　　处：《塑料科技》2020年第10期112-114,共3页Plastics Science and Technology

摘　　要：塑料薄膜工业生产过程中,张力控制系统存在明显的非线性和滞后性,严重影响了塑料薄膜产品的质量。为了提高塑料薄膜张力控制系统的控制精度以及动态性能,基于神经网络对系统进行状态预测,并利用预测的系统状态设计了反馈控制器。通过神经网络在线辨识动态非线性模型,构建了神经网络动态辨识器;运用泰勒级数展开法计算预测未来时刻的神经网络权值,并建立状态预测器;根据预测状态设计了塑料薄膜张力系统的反馈控制器;通过对比仿真实验验证了所设计反馈控制器能够明显改善塑料薄膜张力控制系统的控制精度及控制性能。In the plastic film industrial production process,the tension control system has obvious nonlinearity and large hysteresis,which has great impact on the quality of plastic film products.In order to improve the control accuracy and dynamic performance of the plastic film tension control system,the state of the system is predicted based on the neural network,and a feedback controller is designed using the predicted system state.The dynamic nonlinear model is identified by the neural network,and the neural network dynamic identifier is constructed;the Taylor series expansion method is used to calculate the weight of the neural network to predict the future time,and the state predictor is established;the plastic film tension system is designed according to the predicted state Feedback controller;finally,it is verified through comparative simulation experiments that the designed feedback controller can significantly improve the control accuracy and control performance of the plastic film tension control system.

关 键 词：塑料薄膜 张力控制 状态预测 反馈控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]