改进蚁群算法在空调冷冻水系统中的应用研究  

Improved ant colony algorithm in air conditioning chilled water system study

作　　者：李思[1] 朱栋华[1] 孟显娇 

机构地区：[1]沈阳建筑大学信息与控制工程学院,辽宁沈阳110168

出　　处：《信息通信》2014年第8期1-2,共2页Information & Communications

摘　　要：针对空调冷冻水系统存在的时间滞后、多干扰等特点和传统PID控制器控制效果不佳等问题进行了控制策略的优化。将改进蚁群PID控制器应用于冷冻水系统中,并对蚁群算法在寻优时易出现的停滞现象进行改进。最后,通过Matlab软件进行仿真实验,表明了基于改进蚁群算法PID控制的冷冻水系统有效地改善了控制环节的惯性大、时间滞后等问题,提高了系统的准确性与稳定性。For the air conditioning chilled water system characteristics of time lag, much interference and poor results that was produced by using PID controller alone, etc, look for the optimal control. Use the ant colony optimization algorithms PID controller in the chilled water system, and improve the ant colony algorithm to prevent the tending to the stagnation when looking for better parameters. Finally, the simulation results show that the chilled water system controlled based on the improved ant col- ony algorithm PID has effectively improved the control aspects of inertia, the time lag and other issues, improved the system of accuracy and stability by the Matlab software.

关 键 词：空调冷冻水系统 蚁群算法 温度控制 自适应因子 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]