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改进蚁群算法在空调冷冻水系统中的应用研究
引用本文:李思,朱栋华,孟显娇.改进蚁群算法在空调冷冻水系统中的应用研究[J].湖北邮电技术,2014(8):1-2.
作者姓名:李思  朱栋华  孟显娇
作者单位:沈阳建筑大学信息与控制工程学院,辽宁沈阳110168
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。

关 键 词:空调冷冻水系统  蚁群算法  温度控制  自适应因子

Improved ant colony algorithm in air conditioning chilled water system study
LI Si,ZHU Donghua,MENG Xianjiao.Improved ant colony algorithm in air conditioning chilled water system study[J].Hubei Post & Telecommunications Technology,2014(8):1-2.
Authors:LI Si  ZHU Donghua  MENG Xianjiao
Institution:(School of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, China, 110168)
Abstract: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.
Keywords:air conditioning chilled water system  ant colony algorithms  temperature control  adaptive factor
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