Raw water pre-treatment system based on neural network adaptive PID control algorithm

WU Hengyun; SHEN Qiankun; ZHANG Weixian

doi:10.19666/j.rlfd.201710119

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Raw water pre-treatment system based on neural network adaptive PID control algorithm

更新时间：2025-09-28

- Raw water pre-treatment system based on neural network adaptive PID control algorithm
- Thermal Power Generation Vol. 47, Issue 4, Pages: 41-47(2018)
- 作者机构：
  
  1. 西安热工研究院有限公司
  2. 西安益通热工技术服务有限责任公司
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.201710119
  CLC： TP273+.2
- Published Online：09 April 2018，
  
  Published：2018
- 稿件说明：
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WU Hengyun, SHEN Qiankun, ZHANG Weixian. Raw water pre-treatment system based on neural network adaptive PID control algorithm[J]. Thermal power generation, 2018, 47(4): 41-47.
DOI：

WU Hengyun, SHEN Qiankun, ZHANG Weixian. Raw water pre-treatment system based on neural network adaptive PID control algorithm[J]. Thermal power generation, 2018, 47(4): 41-47. DOI： 10.19666/j.rlfd.201710119.

摘要

原水预处理系统中传统PID控制器对V型滤池水箱水位控制存在超调大、稳态精度低等问题

本文设计了神经网络自适应PID控制算法

采用BP神经网络对PID参数进行自动整定

采用RBF神经网络对被控对象进行在线辨识

并在Compact Logix系列PLC上实现了神经网络自适应PID控制算法。将该算法用于原水预处理V型滤池水箱水位控制

实际控制效果表明:神经网络自适应PID控制算法控制精度高

鲁棒性好

大大提高了原水预处理系统的产水品质。

Abstract

Aiming at the problem that the traditional PID controllers in the raw water treatment system have the disadvantages of overshoot and low steady-state precision for the water level control of the V-type filter tank

this study designs the adaptive PID control algorithm of the neural network.The BP network is used to realize the selftuning of PID parameters.The RBF neural network is applied to identify the controlled objects

and the neural network adaptive PID control algorithm is implemented on the Compact Logix series PLC.This algorithm is applied for the water level control of the V-type filter tank in the raw water pre-treatment system.The actual control results show that the neural network adaptive PID control algorithm has high control precision and good robustness

which greatly improves the water quality of the raw water treatment system.

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