机械制造与自动化2026，Vol.55Issue(1)：225-228,4.DOI:10.19344/j.cnki.issn1671-5276.2026.01.042
基于模糊神经网络PID的中央空调温度调节与启停控制
Temperature Regulation and Start-stop Control of Central Air Conditioner Based on Fuzzy Neural Network PID
祁跃东 1杨梅 2陈洪宽 2刘洋博2
作者信息
- 1. 红塔烟草(集团)有限责任公司,云南 玉溪 653100
- 2. 红塔烟草(集团)有限责任公司 昭通卷烟厂,云南 昭通 657000
- 折叠
摘要
Abstract
This paper proposes a fuzzy neural network control strategy based on fuzzy proportional integral principle,meeting the requirements of temperature regulation and switch hybrid control in central air-conditioning system.The strategy integrates the traditional proportional integral-differential control and fuzzy logic algorithm,and introduces radial basis function neural network to enhance the adaptive and learning ability of the system.The simulation results show that the proposed algorithm can quickly reach the peak of the step signal within 50 milliseconds,and the control accuracy reaches 95％after 300 milliseconds,which is superior to the traditional control algorithm.The control algorithm improves the response speed and control precision of the system,and strengthens the anti-interference ability,which is of great significance to the improvement of the energy efficiency and stability of the central air conditioning system.关键词
模糊控制/神经网络/PID控制器/中央空调/调温启停/混合控制Key words
fuzzy control/neural network/PID controller/central air conditioning/temperature control start and stop/hybrid control分类
信息技术与安全科学引用本文复制引用
祁跃东,杨梅,陈洪宽,刘洋博..基于模糊神经网络PID的中央空调温度调节与启停控制[J].机械制造与自动化,2026,55(1):225-228,4.
