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变风量(VAV)空调系统的DDC控制

Direct Digital Control (DDC) in Variable Air Volume (VAV) Air Conditioning System

【作者】 李琳琳

【导师】 李振国;

【作者基本信息】 西安建筑科技大学 , 机械电子工程, 2003, 硕士

【摘要】 随着智能建筑的快速发展,楼宇自动化系统也逐渐对建筑内的设备进行越来越科学、经济、合理的控制和管理,不仅能使大楼的功能、档次提高,而且可以达到高效节能的效果。目前国内商业建筑的空调设计更趋于复杂、庞大,空调系统所占整个建筑能耗的比重越来越大。为了对建筑物内部的空调系统进行有效的控制和管理,充分利用节能技术,将微机控制应用于空调自动控制系统。本文将讨论空调系统中空气处理机组的直接数字控制(DDC)设计。 变风量空调系统以其节能、灵活性而优于其它空调系统,逐渐成为空调系统设计的主流。但变风量空调系统是一个复杂的热力系统,所受干扰多,对象的参数易于变化且难以确定。随着计算机科学、控制理论的发展,产生了新的智能控制理论。本文应用了一种复合模糊PID控制算法,在大偏差时用模糊控制,在小偏差时用PID控制。模糊控制与PID控制器两者结合起来后,扬长避短,即具有模糊控制灵活而适应性强的优点,又具有PID控制精度高的特点。从而解决控制系统的稳定性与获得良好性能的问题,增强系统对不确定性因素的适应性。 MATLAB是近年来流行的软件之一,本文应用其中的SIMULINK工具箱对系统进行了仿真。详细阐述了仿真模型的建立过程,对仿真结果进行了分析。仿真结果说明,复合模糊PID控制比常规PID控制性能好,为今后在工程实践中的应用奠定了基础。

【Abstract】 With the rapid development of Intelligent Building (IB), Building Automation System (BAS) has come to control and manage the equipment in the building more and more scientifically, economically and rationally, which can not only raise the function and the level of the building, but also save the energy. At present, air-conditioning design in internal commercial building is becoming more complex and enormous. The proportion of air-conditioning system in the whole building is getting larger. In order to control and manage the air-conditioning system effectively, and take full use of energy-saving technology, we apply computer control to the system of air automation control. This paper discusses the direct digital control (DDC) in the air-handing unit of air-conditioning system.Variable air volume (VAV) air-conditioning system is superior to the other air-conditioning systems for its economic and flexible performance, which has been the main current of air-conditioning system design. But as a complex thermodynamic system, VAV system has many disturbances and is calculated parameters hardly. Many new intelligent control theories come into being with the development of computer and control theory. This paper introduces a compound Fuzzy-PID control algorithm which uses fuzzy control in big error and PID control in small error. After combining fuzzy control and PID control, the control algorithm has both advantages of them. So we can solve the contraction between stability and good performance of the system, and strengthen the system adaptability to some unstable factors.MATLAB is one of the popular software recently. This paper uses its SIMULINK toolbox to simulate the system. It introduces the process of establishing simulating model exhaustively, and analyses the simulating results. The results lay a foundation for later engineering use, which indicate that the compound Fuzzy-PID control has the better function than the common PID control.

  • 【分类号】TU831.3
  • 【被引频次】22
  • 【下载频次】905
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