基于CFD的通信机房温度模型预测控制
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摘要
提出了一种基于计算流体动力学的模型预测控制方法,以优化通信机房的室温控制。根据边界条件建立通信机房的三维物理模型,经过稳态和瞬态模拟求解,得到输入输出温度的单位阶跃响应。通过系统辨识对单位阶跃响应曲线进行拟合,选取拟合度最高的系统模型作为机房温度的数学模型,以此设计模型预测控制器,进行模型预测控制仿真,并与传统PID控制进行比较。结果表明模型预测控制应用于通信机房的室温调节,具有更好的控制品质和应用价值。
This paper presents a Model Predictive Control(MPC) method based on Computational Fluid Dynamics(CFD), aiming to optimize the temperature control of communication equipment room. The paper established the three-dimensional physical model of communication equipment room according to the boundary conditions, and obtained the unit step function response of the input and output temperature by the steady and unsteady simulation solution. Then the unit step function response curvewas fitted by system identification, the system model with best fits was chosen as the mathematical model of the room temperature, and the model predictive controller was designed. The MPC simulation experiment was carried out and compared with traditional PID control. The results of MPC has better control quality and great application values for the temperature control of communication equipment room.
This paper presents a Model Predictive Control(MPC) method based on Computational Fluid Dynamics(CFD), aiming to optimize the temperature control of communication equipment room. The paper established the three-dimensional physical model of communication equipment room according to the boundary conditions, and obtained the unit step function response of the input and output temperature by the steady and unsteady simulation solution. Then the unit step function response curvewas fitted by system identification, the system model with best fits was chosen as the mathematical model of the room temperature, and the model predictive controller was designed. The MPC simulation experiment was carried out and compared with traditional PID control. The results of MPC has better control quality and great application values for the temperature control of communication equipment room.
引文
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[5] 韩占忠,王敬,兰小平. FLUENT : 流体工程仿真计算实例与应用[M]. 北京理工大学出版社, 2010.
[6] 孙启扬,等. 基于分段阶跃响应法的制冷系统传递函数辨识[J]. 真空与低温, 2015,21(5):307-310.
[7] V Bobal, et al. Adaptive Predictive Control of Time-delay Systems[J]. Computers & Mathematics with Applications (0898-1221), 2013,66(2):165-17.
[2] 周伟,李永博,汪小旵. 基于CFD非稳态模型的温室温度预测控制[J]. 农业机械学报, 2014,45(12):335-340.
[3] 刘增辉,赵轶文. Fluent软件特点及在室内温度计算中的应用[J]. 电子技术应用, 2011,37(7):48-50.
[4] 程秀花. 温室环境因子时空分布CFD模型构建及预测分析研究[D]. 江苏大学, 2011.
[5] 韩占忠,王敬,兰小平. FLUENT : 流体工程仿真计算实例与应用[M]. 北京理工大学出版社, 2010.
[6] 孙启扬,等. 基于分段阶跃响应法的制冷系统传递函数辨识[J]. 真空与低温, 2015,21(5):307-310.
[7] V Bobal, et al. Adaptive Predictive Control of Time-delay Systems[J]. Computers & Mathematics with Applications (0898-1221), 2013,66(2):165-17.