重庆理工大学学报2024,Vol.38Issue(11) :212-219.DOI:10.3969/j.issn.1674-8425(z).2024.06.026

过渡季空调温湿度辨识模型与模糊控制研究

Research on temperature and humidity identification model and fuzzy control for air conditioning in transitional season

王兵 冉井旺 简勇 高远嵩 王华秋 向力
重庆理工大学学报2024,Vol.38Issue(11) :212-219.DOI:10.3969/j.issn.1674-8425(z).2024.06.026

过渡季空调温湿度辨识模型与模糊控制研究

Research on temperature and humidity identification model and fuzzy control for air conditioning in transitional season

王兵 1冉井旺 1简勇 1高远嵩 1王华秋 2向力3
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作者信息

  • 1. 重庆中烟工业有限责任公司黔江卷烟厂,重庆 409000
  • 2. 重庆理工大学 两江人工智能学院,重庆 401135
  • 3. 重庆太和空调自控有限公司,重庆 400030
  • 折叠

摘要

为了解决空调机组过渡季工况冷热相消的能耗问题,针对表冷器和加湿器建立了基于能量谷优化算法的辨识模型,为了提高能量谷算法的优化性能,采用二阶振荡法融入到能量谷算法中,提高了优化算法的系统辨识精度.采用模糊控制器对表冷器和加湿器阀门开度进行调节,为了提高模糊控制器的控制性能,采用量化系数自动产生更优的模糊规则.仿真实验说明该系统提高了控制精度,控制系统的跟踪性和抗干扰性也得到了提高,使得输出的温湿度快速、准确地逼近设定值,有利于满足生产工艺的需求.

Abstract

To address the cold and hot energy dissipation of air conditioning units during the transitional season,this paper builds an identification model based on the energy valley optimization algorithm for surface coolers and humidifiers.To improve the optimization performance of the energy valley algorithm,the second-order oscillation method is adopted to integrate into the energy valley algorithm.The system identification accuracy of the optimization algorithm is improved.Then,a fuzzy controller is employed to adjust the valve opening of the surface cooler and humidifier.To improve the control performance of the fuzzy controller,the quantization coefficients are used to automatically generate better fuzzy rules.The performances of the control system,including control accuracy,tracking and anti-interference,are improved.Our simulation results show the output temperature and humidity of the control system quickly and accurately approximate the set values,meeting the requirements in the production process.

关键词

过渡季工况/表冷器阀门开度/加湿器阀门开度/二阶振荡能量谷辨识/量化系数/自动模糊规则

Key words

transitional season operating conditions/valve opening of surface cooler/valve opening of humidifier/identification of second-order oscillation energy valleys/quantification coefficient/automatic fuzzy rules

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基金项目

国家科技部重点研发计划项目(2018YFB1700803)

重庆中烟黔江卷烟厂科技项目(2023500114300009)

出版年

2024
重庆理工大学学报
重庆理工大学

重庆理工大学学报

CSTPCD北大核心
影响因子:0.567
ISSN:1674-8425
参考文献量7
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