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林业科学 ›› 2020, Vol. 56 ›› Issue (1): 162-171.doi: 10.11707/j.1001-7488.20200116

• 论文与研究报告 • 上一篇    下一篇

基于渐次目标跟踪的大气候箱防结露控制方法

郑焕祺1,朱科2,周玉成1,*   

  1. 1. 山东建筑大学信息与电气工程学院 济南 250101
    2. 山东建筑大学热能工程学院 济南 250101
  • 收稿日期:2019-08-08 出版日期:2020-01-25 发布日期:2020-02-24
  • 通讯作者: 周玉成
  • 基金资助:
    泰山学者优势特色学科人才团队(2015162)

Method of Gradual Objective Tracking Control for Anti-Condensation in Full-Scale Chamber

Huanqi Zheng1,Ke Zhu2,Yucheng Zhou1,*   

  1. 1. School of Information and Electrical Engineering, Shandong Jianzhu University Jinan 250101
    2. School of Thermal Engineering, Shandong Jianzhu University Jinan 250101
  • Received:2019-08-08 Online:2020-01-25 Published:2020-02-24
  • Contact: Yucheng Zhou
  • Supported by:
    泰山学者优势特色学科人才团队(2015162)

摘要:

目的: 针对现行气候箱装置在达到检测条件过程中易出现雾和结露现象,从而导致甲醛释放量检测结果不准确的问题,提出渐次目标跟踪算法,在大气候箱中进行温湿度控制,使大气候箱满足人造板及其制品甲醛释放量检测的高精度要求。方法: 将控制目标分为若干段,fC_sett)={fC_sett0),fC_sett1),…,fC_settm-1),fC_set(∞)±ξfC_set(∞)},控制算法从初始值开始,分段选择子控制目标和控制参数。当某一控制状态达到设定子目标fC_setti)(0 ≤ im)的某一邻域时,控制子目标fC_setti)变为下一段控制子目标fC_setti+1)。对每段控制采用PID算法,根据不结露的约束条件选择最优比例系数Kp、积分系数Ki和微分系数Kd,使大气候箱内温湿度快速达到检测条件,并确保任意时刻大气候箱内都不会出现雾和结露现象。将控制方法应用于大气候箱,进行板式家具鉴定和检测,在4个季节不同环境条件下进行试验。结果: 1)渐次目标跟踪算法能够在整个测试过程中保持防结露能力,大气候箱内始终没有出现雾和结露现象;2)大气候箱稳态工作时,温度的最大偏差为0.1℃,相对湿度的最大偏差为±3%;3)不同环境条件下大气候箱达到稳定检测条件的时间不同,春季为3.3 h,夏季为7.8 h,秋季为3.8 h,冬季为4.4 h。结论: 渐次目标控制算法能够使30 m3大气候箱在达到检测条件过程中不出现雾和结露现象,稳态工作精度达温度23±0.1℃,相对湿度50%±3%,满足国际标准化组织标准ISO 16000-9要求,达到稳态工作时间不超过8 h。

关键词: 大气候箱, 防结露, 渐次目标, 变参数跟踪控制

Abstract:

Objective: Formaldehyde released from wood-based panels and its products is identified as a highly carcinogenic substance by the international health organization, and the emission climate chamber methods is determined as one of detection methods in China. However, there is the phenomenon of the fog and the condensation using the existing climate chamber devices during the test processes, so that the detection results of formaldehyde released from wood-based panels and its products are not enough accurate. Therefore, an algorithm of gradual objective tracking is proposed in this paper, which could make the temperature and relative humidity of chamber without the phenomenon of the fog and the condensation to achieve high precision in the whole processes. Method: The control objective is divided into different segments in this method, fC_set(t)={fC_set(t0), fC_set(t1), …, fC_set(tm-1), fC_set(∞)±ξ, fC_set(∞)}. The control algorithm which starts from the initial value selects the control sub-objective and the control parameters in each segment. The control sub-object fC_set(ti)(0 ≤ im) becomes the next-stage control sub-object fC_set(ti+1) when a state reaches a neighborhood of the set sub-objective fC_set(ti). The PID algorithm is used for controlling in each segment, and the parameters of gain Kp, integral Ki and differential Kd are selected under the conditions of the non-condensing constraints, so that the climate chamber temperature and the relative humidity can quickly reach the defined conditions. Meanwhile, there is no phenomenon of the fog or the condensation inside the climate chamber all the time. The method of control proposed in this paper is applied to the designed climate chamber, and the wood-based panel furniture is identified and measured. Experiments have been carried out under the different environmental conditions in four seasons of the year, using the developed controller. Result: 1) The algorithm of the gradual objective tracking proposed in this paper can maintain the ability of anti-condensation during the whole test processes, so that there is no phenomenon of the fog and the condensation inside the climate chamber. 2) When the climate chamber is in a steady state, the maximum deviation of the climate chamber temperature is 0.1℃, and the relative humidity is±3%. 3) The time for the climate chamber to reach the stable detection conditions is different under different environmental conditions, those are 3.3 h, 7.8 h, 3.8 h and 4.4 h in spring, in summer, in autumn and in winter, respectively. Conclusion: With the proposed control method which applied to the 30 m3 climate chamber, the following conclusions could be drawn:1) There is no phenomenon of the fog and the condensation inside the climate chamber. 2) The accuracy of steady-state between 23±0.1℃ and 50%±3% inside climate chamber, which temperature and relative humidity respectively, meeting the ISO 16000-9 standard requirements; 3) The time for the climate chamber to reach the steady state is less than 8 h.

Key words: full-scale chamber, prevent condensation, gradual objective, variable parameter tracking control

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