中央空调多变量自适应控制研究

发布时间：2018-04-27 11:26

本文选题：中央空调系统 + 变风量空调　；参考：《沈阳建筑大学》2013年硕士论文

【摘要】：由于中央空调系统在人们生活中的应用越来越广泛,空调系统能耗占建筑领域能耗的比重越来越大,因此如何运用智能控制技术对其进行有效的节能控制已成为当今控制领域的热点。而变风量空调系统作为中央空调系统中最重要的一种节能效果较为显著的系统,将成为今后空调领域研究的核心对象,但变风量空调系统是一种多变量、大滞后、非线性和不确定性的系统,传统PID控制难以满足其多变量动态控制的要求,为了改善空调系统的控制性能,达到良好的节能效果,本论文以实际工程作为背景,提出了三种改进的控制器设计方案,并利用不同的智能控制算法对其温度控制进行合理优化,分析MATLAB仿真实验结果,得到最优的控制策略。本论文主要做了以下几个方面的工作： 1.以实际工程作为背景,结合某商场C馆的设计对其所采用的楼宇监控系统,空调系统的组成、工作原理及各空调组成部分,如冷热源系统、新风机组及空调机组的控制原理及特点进行说明。 2.针对中央空调系统多变量、非线性、大滞后及不确定性的特点,本论文提出三种不同的控制器设计方案,分别为递归小波神经网络预测控制、模糊神经网络预测控制及T-S模糊递归神经网络预测控制,并利用智能控制算法对其进行控制研究。 3.建立变风量空调末端控制房间的数学模型,确定模型参数。并利用流程图说明空调系统控制方法的实现。在此基础上进行MATLAB仿真实验,对仿真结果进行分析,与传统PID控制比较,寻求最优的控制方案。
[Abstract]:As the central air conditioning system is more and more widely used in people's life, the energy consumption of air conditioning system accounts for more and more energy consumption in the field of building. Therefore, how to use intelligent control technology to effectively control energy conservation has become a hot spot in the field of control. As the most important energy saving system in central air conditioning system, VAV air conditioning system will become the core object of air conditioning research in the future, but VAV air conditioning system is a kind of multivariable, large lag, In order to improve the control performance of air conditioning system and achieve good energy-saving effect, the traditional PID control system can not meet the requirements of multi-variable dynamic control. Three kinds of improved controller design schemes are put forward, and the temperature control is reasonably optimized by using different intelligent control algorithms. The simulation results of MATLAB are analyzed and the optimal control strategy is obtained. The main work of this paper is as follows: 1. Taking the actual project as the background, combined with the design of the C Pavilion of a shopping mall, the building monitoring system, the composition of the air conditioning system, the working principle and the air conditioning components, such as the cold and heat source system, are adopted. The control principle and characteristics of fresh air unit and air conditioning unit are explained. 2. Aiming at the characteristics of multivariable, nonlinear, large delay and uncertainty in central air conditioning system, this paper presents three different design schemes of controller, which are recursive wavelet neural network predictive control (RWNN). Fuzzy neural network predictive control and T-S fuzzy recurrent neural network predictive control are studied. 3. The mathematical model of VAV terminal control room is established and the model parameters are determined. The flow chart is used to illustrate the realization of the control method of air conditioning system. On this basis, the MATLAB simulation experiment is carried out, and the simulation results are analyzed. Compared with the traditional PID control, the optimal control scheme is sought.
【学位授予单位】：沈阳建筑大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TU831;TP273

【参考文献】