摘要
根据我国当前智能建筑中央空调控制系统传统PID控制存在的问题,依据控制对象为一大滞后大惯性环节的特点,对一种模糊神经网络的控制器进行了仿真研究,以期改善空调控制系统的动静态特性,并能达到节能的效果。
There are many problems in the traditional PID control of air - conditioning system in the intelligent buildings. this paper simulates and researches a type of fuzzy neural network control, which the object is a large dead- time and inertia, to improve the static and dynamic characteristic of air- conditioning system and save the energy.
出处
《制冷与空调》
2004年第1期41-44,共4页
Refrigeration and Air-Conditioning
