APPLICATION OF SINGLE NEURON PID CONTROLLER FOR SUPERHEATED STEAM TEMPERATURE CONTROL

doi:10.19666/j.rlfd.2004.02.017

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APPLICATION OF SINGLE NEURON PID CONTROLLER FOR SUPERHEATED STEAM TEMPERATURE CONTROL

更新时间：2025-09-28

- APPLICATION OF SINGLE NEURON PID CONTROLLER FOR SUPERHEATED STEAM TEMPERATURE CONTROL
- Thermal Power Generation Issue 2, Pages: 59-62(2004)
- 作者机构：
  
  1. 清华大学
  2. 清华大学,北京,100084
  3. ,北京,100084
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2004.02.017
  CLC： TK32
- Published：2004
- 稿件说明：
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APPLICATION OF SINGLE NEURON PID CONTROLLER FOR SUPERHEATED STEAM TEMPERATURE CONTROL[J]. Thermal power generation, 2004, (2): 59-62.
DOI：

APPLICATION OF SINGLE NEURON PID CONTROLLER FOR SUPERHEATED STEAM TEMPERATURE CONTROL[J]. Thermal power generation, 2004, (2): 59-62. DOI： 10.19666/j.rlfd.2004.02.017.

摘要

将具有自学习功能的单神经元模型与常规的PID控制算法相结合

设计了单神经元PID控制器

并应用于超临界机组过热汽温控制系统。仿真结果表明

采用单神经元PID控制器的汽温控制系统

能够适应被控对象在较大范围内的变化

具有较强的自适应能力和鲁棒性

其控制品质优于常规的PID控制器。此外根据仿真结果

对单神经元的学习算法进行了改进

使其控制品质得以提高

Abstract

Combining selflearning single neuron model with conventional PID control algorithm

a single neuron PID controller has been designed and used for the superheated steam temperature control system. The simulation results show that the said control system is adaptable for a large range of controlled object variation

having high robustness and adaptability

the control quality of single neuron PID controller being better than that of conventional PID controller. In addition

on the basis of said simulation results

the learning algorithm of single neuron has been further improved

enhancing the better control quality of single neuron PID controller.

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Related Author

WEI Le

MA Binbin

ZHAO Wenjie

HUANG Xiaoying

ZHAO Jianjun

ZHOU Hong

LIU Haibo

SHEN Guoqing

Related Institution

School of Control and Computer Engineering, North China Electric Power University

Wuhan University

Key Laboratory of Power Station Equipment Status Monitoring and Control, Ministry of Education, North China Electric Power University

Fengtai Power Generation Co., Ltd., Fengtai

Xi’an Thermal Power Research Institute Co., Ltd.

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