Double variable PID decoupling control of headbox based on BP neural network

PAN Haipeng; XU Yuying

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Double variable PID decoupling control of headbox based on BP neural network

更新时间：2025-12-10

- Double variable PID decoupling control of headbox based on BP neural network
- CIESC Journal Issue 8, Pages: 2154-2158(2010)
- 作者机构：
  
  浙江理工大学自动化研究所,浙江,杭州,310018
- 作者简介：
- 基金信息：
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- Online First：05 August 2010，
  
  Published：05 August 2010
- 稿件说明：
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PAN Haipeng, XU Yuying. Double variable PID decoupling control of headbox based on BP neural network[J]. CIESC Journal, 2010, (8): 2154-2158.
DOI：

PAN Haipeng, XU Yuying. Double variable PID decoupling control of headbox based on BP neural network[J]. CIESC Journal, 2010, (8): 2154-2158. DOI：

摘要

针对造纸工业中的气垫式流浆箱总压与浆位的非线性、强耦合特性，在分析与总结BP神经网络、PID控制等优点的基础上，设计了一种基于BP神经网络的双变量PID解耦控制器。该控制器可利用神经网络所具有的任意非线性表达能力，根据系统现场的运行状态，按照人为设定的性能指标，通过自学习和权值调整来整定PID控制的比例（kp）、积分（ki）、微分（kd）三个参数，最终实现具有最佳组合的PID控制，进而实现了气垫式流浆箱总压与浆位的解耦控制。同时，还针对气垫式流浆箱的线性模型和非线性模型进行了仿真，仿真结果表明：该解耦控制器具有实现简单、动态响应快、控制精度高等特点，有较高的实用价值。

Abstract

Aiming at the control problems of air-cushioned headbox in papermaking process，such as the nonlinearity and serious coupling relationship between total pressure and liquid level，a double variable PID decoupling controller based on BP neural network is proposed to release the influence between the two variables.The controller changes the parameters：proportion（kp），integral（ki），and differential coefficient（kd）of PID itself on line with neural network’s capability of non-linear description，in order to find the best PID parameters，which can release the influence between total pressure and liquid level of the air-cushioned headbox.The results of simulation on air-cushioned headbox’s linear and non-linear model indicate that the controller has the characteristics of simple realization，quick dynamic behavior，high control effect and better practical value.

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