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林业科学 ›› 2014, Vol. 50 ›› Issue (10): 99-105.doi: 10.11707/j.1001-7488.20141014

• 论文与研究报告 • 上一篇    下一篇

木材除湿干燥模糊控制系统的设计与实现

苗虎1, 周玉成1,2, 侯晓鹏1,2, 刘鑫钰3, 安源1,2, 张国梁1   

  1. 1. 中国林业科学研究院木材工业研究所 北京 100091;
    2. 国家林业局木材科学与技术重点实验室 北京 100091;
    3. 中国福马机械集团有限公司 北京 100029
  • 收稿日期:2013-11-07 修回日期:2014-01-08 出版日期:2014-10-25 发布日期:2014-11-12
  • 通讯作者: 周玉成

Design and Implementation of a Fuzzy Control System for Wood Dehumidification Drying

Miao Hu1, Zhou Yucheng1,2, Hou Xiaopeng1,2, Liu Xinyu3, An Yuan1,2, Zhang Guoliang1   

  1. 1. Research Institute of Wood Industry, CAF Beijing 100091;
    2. Key Laboratory of Wood Science and Technology of State Forestry Administration Beijing 100091;
    3. China Foma (Group)Co., Ltd. Beijing 100029
  • Received:2013-11-07 Revised:2014-01-08 Online:2014-10-25 Published:2014-11-12

摘要:

在分析典型木材除湿干燥设备总体结构和工作原理的基础上,设计一种基于模糊控制的智能型除湿干燥控制系统,该系统能够根据干燥窑内实时的温度、相对湿度变化,动态地调节除湿机的开启比例,给出一个控制周期T内最佳的除湿机开启与停止时间,从而精确控制干燥窑内的温度和相对湿度,满足木材干燥基准的要求。生产实际表明,相比于仪表控制方式,本研究设计的控制系统能够在保证干燥质量的前提下,干燥周期由原来的30天减为23天,节能17%左右,同时除湿机的工作时间减少157 h,减轻了设备磨损,延长了设备寿命。

关键词: 木材除湿干燥, 模糊最优控制, 除湿干燥机

Abstract:

Analyzed with the overall structure and working principle of dehumidification drying equipment, in this study, a kind of intelligent control system was designed on the basis of fuzzy control. The control system could adjust the run-time proportion of dehumidifier dynamically according to the real-time changes of temperature and relative humidity in the drying kiln, then calculated turn-on time and stop time of dehumidifier in one control cycle T, so as to exactly control the drying process to meet the wood drying schedule. Production practice indicated that compared with instrument control, the control system designed in this study could shorten the drying time, from 30 days to 23 days; reduced the energy consumption and the energy-saving ratio is 17% on the premise of good drying quality. At the same time, the running time of dehumidifier decreased by 157 hours, so the device wear was reduced to extend the life of equipment. This study could provide a reference for the design and application of dehumidification drying equipment.

Key words: dehumidification drying for wood, fuzzy optimal control, dehumidifier

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