基于迭代学习的楼宇空调湿度控制研究
Research on humidity control of building air conditioning based on iterative learning
黄永生1
作者信息
- 1. 合肥职业技术学院,安徽合肥 230012
- 折叠
摘要
传统楼宇变风量空调控制方法,存在对被控系统数学模型的精度要求较高以及抗干扰能力弱的不足,因此限制了变风量空调系统的应用.针对变风量楼宇空调系统运行时存在的重复干扰与系统模型精度问题,采用迭代学习控制方法对变风量空调空气湿度进行控制.将变风量空调空气调节过程看成间歇过程,并且将室内空间湿度控制过程当作间歇过程对目标轨迹的跟踪问题,设计迭代学习控制器,使被控系统能够获得更好的精度和鲁棒性,实现变风量空调的高精度湿度轨迹跟踪.
Abstract
The traditional control method of variable air volume(VAV)air conditioning in buildings has high requirements for the accuracy of the mathematical model of the controlled system and weak anti-interference a-bility,which limits the application of VAV air conditioning systems.In order to solve the problems of repeated interference and system model accuracy in the operation of the VAV building air conditioning system,the iter-ative learning control method is used to control the air humidity of the VAV air conditioning system.The air conditioning process of VAV air conditioning is regarded as an intermittent process,and the indoor space hu-midity control process is regarded as an intermittent process to track the target trajectory.Iterative learning controller is designed to enable the controlled system to obtain better accuracy and robustness,and achieve high-precision humidity trajectory tracking of VAV air conditioning.
关键词
变风量空调/湿度控制/迭代学习控制/重复干扰Key words
variable air volume air conditioning/humidity control/iterative learning control/repetitive inter-ference引用本文复制引用
基金项目
安徽省职业与成人教育学会重点教学研究项目(Azcj2021047)
合肥职业技术学院自然科学重点项目(2024CXYKJA02)
出版年
2024
NETL
NSTL
万方数据