Dynamic fuzzy-PID coordinated control of the cool-hot end temperature of large climate environmental test chambers

WANG Jiangang; YANG Hongtao; YU Xiaozhou; CHEN Qinghua; XIE Xiaojie

doi:10.37188/OPE.20223024.3159

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Dynamic fuzzy-PID coordinated control of the cool-hot end temperature of large climate environmental test chambers

Micro/Nano Technology and Fine Mechanics | 更新时间：2022-12-27

- Dynamic fuzzy-PID coordinated control of the cool-hot end temperature of large climate environmental test chambers
- Optics and Precision Engineering Vol. 30, Issue 24, Pages: 3159-3167(2022)
- 作者机构：
  
  1.安徽理工大学机械工程学院，安徽淮南 232001
  2.安徽理工大学深部煤矿采动响应与灾害防控国家重点实验室，安徽淮南 232001
- 作者简介：
- 基金信息：
- DOI：10.37188/OPE.20223024.3159
  CLC： TH122
- Received：02 August 2022，
  
  Revised：12 October 2022，
  
  Published：25 December 2022
- 稿件说明：
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王建刚,杨洪涛,于晓周等.大型气候环境试验舱冷热端温度动态模糊PID协调控制[J].光学精密工程,2022,30(24):3159-3167.

WANG Jiangang,YANG Hongtao,YU Xiaozhou,et al.Dynamic fuzzy-PID coordinated control of the cool-hot end temperature of large climate environmental test chambers[J].Optics and Precision Engineering,2022,30(24):3159-3167.
王建刚,杨洪涛,于晓周等.大型气候环境试验舱冷热端温度动态模糊PID协调控制[J].光学精密工程,2022,30(24):3159-3167. DOI： 10.37188/OPE.20223024.3159.

WANG Jiangang,YANG Hongtao,YU Xiaozhou,et al.Dynamic fuzzy-PID coordinated control of the cool-hot end temperature of large climate environmental test chambers[J].Optics and Precision Engineering,2022,30(24):3159-3167. DOI： 10.37188/OPE.20223024.3159.

摘要

为了解决具有强扰动的大型气候环境试验舱温度数据波动大、难以精确控制的问题，本文分析了试验舱温度结构组成、温度控制特点和热负荷扰动来源，提出了适用于大型试验舱温度精确控制的冷热端温度动态模糊PID协调控制算法，研究其控制原理及具体算法。同时提出了利用卡尔曼（Kalman）滤波的温度数据处理方法和基于艾伦（Allan）方差分析的控制效果评判方法。实验结果表明，Kalman 滤波可有效去除温度测量数据中热负荷扰动产生的偏差，更真实反映温度实际变化。本文研究的控制算法相较于传统PID控制算法其温度波动性较小、系统稳态响应时间较短，可以用于大型气候环境试验舱的温度精确控制。

Abstract

To address the problems of large data fluctuation and the difficulty of the accurate control of large climatic environment test chamber temperature with strong disturbances， the temperature structural composition， temperature control characteristics， and heat load disturbance source of test chamber temperature are analyzed. A dynamic fuzzy-proportional-integral-derivative-coordinated control algorithm for the cool-hot end temperature is proposed for the precise temperature control of large test chambers. The control principle and its specific algorithm are studied. The temperature data processing method used is Kalman filtering， and the control effect evaluation method is based on the Allan analysis of variance. Experimental results show that the deviation caused by thermal load disturbances in measuring temperature data can be effectively removed by Kalman filtering， reflecting the actual temperature change realistically. The control algorithm studied is compared with the traditional proportional-integral-derivative control algorithm， which has less temperature fluctuation and shorter steady-state system response time， and can be applied to the precise temperature control of large climate environmental test chambers.

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