造纸过程定量水分智能控制数学模型构建
Construction of a Mathematical Model for Intelligent Control of Quantitative Moisture in Papermaking Process
张小辉 1周敏1
作者信息
- 1. 陕西机电职业技术学院,陕西 宝鸡,721001
- 折叠
摘要
为充分应对造纸过程定量水分的非线性、时变性、强耦合性,实现造纸过程定量水分智能控制系统的解耦与控制,以前馈神经网络为载体,提出了定量水分模糊逻辑智能控制系统,通过飞升曲线法简化构建了智能控制数学模型,并以模糊神经网络控制器为载体,耦合生成了神经网络控制算法,在此基础上,仿真分析了造纸过程定量水分智能控制系统.结果发现,基于数学模型与神经网络控制算法的造纸过程定量水分智能控制系统拥有良好动态性能与稳态性能,响应速度快,且无超调,无振荡,可于造纸工业领域广泛推广应用.
Abstract
In order to fully address the nonlinearity,time-varying,and strong coupling of quantitative moisture in the papermaking process,and to achieve decoupling and control of the intelligent control system for quantitative moisture in the papermaking process,fuzzy logic intelligent control system for quantitative moisture proposes using feedforward neural networks as the carrier.And the intelligent control mathematical model simplifies the soaring curve method,and neural network control algorithm is coupling and generating using fuzzy neural network controller as the carrier.On this basis,the intelligent control system for quantitative moisture in the papermaking process simulates and analyzes.The results show that the intelligent control system for quantitative moisture in the papermaking process based on mathematical models and neural network control algorithms has good dynamic and steady-state performance,fast response speed,and no overshoot or oscillation,and it can be widely promoted and applied in the papermaking industry.
关键词
定量/水分/数学模型/解耦控制/前馈神经网络Key words
quantitative/moisture content/mathematical models/decoupling control/feedforward neural network引用本文复制引用
基金项目
陕西省职业技术教育学会项目(2024SZX606)
陕西省中华职业教育社项目(ZJS202354)
出版年
2024
NETL
NSTL
万方数据