【作者】 胡多根；

【导师】 鲁照权；

【作者基本信息】 合肥工业大学 ， 控制理论与控制工程， 2010， 硕士

【摘要】 中央空调的能耗一般包括三个部分,即空调冷热源的能耗、水或空气输送系统能耗和空调机组末端设备的能耗。经过多年节能技术的发展,就设备制造和设备本身控制而言,已经有了长足进步,但在运行中还有一些节能的潜力有待挖掘。本文综述了中央空调系统的工作原理及能耗分析,介绍了空调自控系统的特点,分析了空调冷冻水系统数学模型和动态特性。针对空调系统热容量大、惯性大,被控系统温度反应的时滞等问题,本文在分析总结中央空调系统节能方式的基础上,探讨了冷冻水变流量控制技术的特点,研究了中央空调系统的非线性和时滞等问题,深入研究了参数自适应时滞补偿预测方法以及对冷冻水系统的负荷预测问题。研究了参数自调整模糊PID方法,将二阶模型负荷预测与参数自调整模糊控制相结合,提出了“基于负荷预测的参数自调整模糊控制”方法。用预测输出作为反馈信号,从而消除了时滞的不良影响。仿真结果表明本文提出的方法具有良好的控制性能,对干扰有较强的适应能力,可大大提高了系统的节能效果。更多还原

【Abstract】 The energy consumption of central air condition generally consists of three parts, namely, the energy consumption of air condition’s cold and heat sources, water or air transportation system and air condition’s terminal equipment. After years of development on energy-saving technology, considerable progress has been made concerning on the equipment manufacturing and control of the device itself, but there are some of energy-saving potential to be excavated in the operation.The principle of the central air condition is summarized. The energy consumption is analyzed. The characteristics of automatic control system are described. The mathematical model of chilled water and it’s dynamic characteristics are analyzed. Aim at the heat capacity, inertia, temperature response delay and other issues in air condition system, the features of chilled water variable flow control technology is explored, the problems of nonlinear and time delay are studied, and parameter adaptive time delay compensation prediction method and load prediction in the chilled water system are deeply researched based on analyzing and summarizing the way of energy-saving in the central air condition system.The parameter adjustable fuzzy control is researched. The "Parameter Adjustable Fuzzy Control Based on the Load Prediction" is proposed by combining the second-order model of load prediction with fuzzy control. The time-delay is eliminated by using the forecast-output as feedback signal. Simulation results show that the method proposed in this paper has good performance, great adaptive ability to the interference, and significantly improve the system’s energy saving effect.更多还原