基于虚拟仪器和MATLAB的空调系统设计与研究
发布时间:2018-10-31 10:09
【摘要】:目前,变风量空调系统由于其节能性、舒适性而逐渐成为了空调系统的主流。但是,变风量空调系统具有多变量、强耦合、时变、非线性的特点,因此它的运行和控制都会比定风量空调系统难度大。这就限制了变风量空调系统的更广泛的应用。 本论文主要是围绕着变风量空调系统能够稳定运行而进行的研究。首先从变风量空调系统目前常用的控制方式和原理出发,分析了变风量空调系统的控制难点以及各控制回路之间的耦合特性。然后将变风量空调系统分为机组部分和末端部分,对其进行机理分析,并且通过实验测试法得到了机组和末端部分的数学模型和参数。本文在传统的多变量系统解耦方法的基础上提出了基于神经网络的多变量解耦控制策略,并且设计了BP神经网络解耦器的结构和神经元自适应PID控制器,通过传统PID控制算法的参数确定了控制器权值的初始值。最后,通过MATLAB仿真实验证明,所提出的控制方案可以很好地完成系统的解耦和控制任务,并且可以在控制过程中通过学习完善控制规律,具有很好的解耦性和鲁棒性。还研究了LABVIEW与MATLAB的混合编程的实现,利用LABVIEW软件完成了界面设计,可以给人们一个更直观的效果。通过对变风量空调系统的一系列的研究,使其能够稳定运行,达到节能和提高室内舒适度的目的,此对智能建筑的能量管理控制具有重要意义。
[Abstract]:At present, VAV air conditioning system has gradually become the mainstream of air conditioning system because of its energy saving and comfort. However, the VAV air conditioning system has the characteristics of multivariable, strong coupling, time-varying and nonlinear, so its operation and control will be more difficult than the constant air volume air conditioning system. This limits the wider application of VAV air conditioning systems. This paper mainly focuses on the study of VAV air-conditioning system can run stably. Based on the common control methods and principles of VAV air conditioning system, the control difficulties of VAV air conditioning system and the coupling characteristics of each control loop are analyzed. Then the VAV air conditioning system is divided into the unit part and the terminal part, and the mechanism is analyzed, and the mathematical model and parameters of the unit and the end part are obtained by the experimental test method. In this paper, based on the traditional decoupling method of multivariable system, the multivariable decoupling control strategy based on neural network is proposed, and the structure of BP neural network decoupling device and the neural adaptive PID controller are designed. The initial value of the controller weight is determined by the parameters of the traditional PID control algorithm. Finally, through MATLAB simulation experiments, it is proved that the proposed control scheme can complete the decoupling and control tasks of the system well, and can improve the control law by learning the control law in the process of control, and has good decoupling and robustness. The realization of mixed programming of LABVIEW and MATLAB is also studied. The interface design is completed by using LABVIEW software, which can give people a more intuitive effect. Through a series of research on VAV air conditioning system, it can run stably, achieve the purpose of saving energy and improving indoor comfort, which is of great significance to the energy management and control of intelligent building.
【学位授予单位】:东华大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TU831.3
本文编号:2301782
[Abstract]:At present, VAV air conditioning system has gradually become the mainstream of air conditioning system because of its energy saving and comfort. However, the VAV air conditioning system has the characteristics of multivariable, strong coupling, time-varying and nonlinear, so its operation and control will be more difficult than the constant air volume air conditioning system. This limits the wider application of VAV air conditioning systems. This paper mainly focuses on the study of VAV air-conditioning system can run stably. Based on the common control methods and principles of VAV air conditioning system, the control difficulties of VAV air conditioning system and the coupling characteristics of each control loop are analyzed. Then the VAV air conditioning system is divided into the unit part and the terminal part, and the mechanism is analyzed, and the mathematical model and parameters of the unit and the end part are obtained by the experimental test method. In this paper, based on the traditional decoupling method of multivariable system, the multivariable decoupling control strategy based on neural network is proposed, and the structure of BP neural network decoupling device and the neural adaptive PID controller are designed. The initial value of the controller weight is determined by the parameters of the traditional PID control algorithm. Finally, through MATLAB simulation experiments, it is proved that the proposed control scheme can complete the decoupling and control tasks of the system well, and can improve the control law by learning the control law in the process of control, and has good decoupling and robustness. The realization of mixed programming of LABVIEW and MATLAB is also studied. The interface design is completed by using LABVIEW software, which can give people a more intuitive effect. Through a series of research on VAV air conditioning system, it can run stably, achieve the purpose of saving energy and improving indoor comfort, which is of great significance to the energy management and control of intelligent building.
【学位授予单位】:东华大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TU831.3
【参考文献】
相关期刊论文 前10条
1 王东风;基于神经网络模块SN9701开发多变量系统解耦控制器[J];电子技术应用;2001年02期
2 曹振华;;变风量空调控制系统的建模与仿真[J];低温建筑技术;2012年10期
3 王宁,涂健,陈锦江;使用单个自适应神经元的智能控制[J];华中理工大学学报;1993年03期
4 李秋生;张策;刘政华;;基于神经网络和遗传算法的智能PID控制[J];计算机测量与控制;2007年05期
5 张莉;李尧;朱玉明;;暖通空调节能设计分析[J];山西建筑;2010年09期
6 濮卫兴,陈来九;一种多变量自适应模糊控制器的设计方法[J];控制与决策;1996年05期
7 刘天川;变风量空调系统应用探讨[J];暖通空调;1995年04期
8 蒋红梅;任庆昌;;变风量空调的自适应解耦控制研究[J];计算机工程与应用;2012年30期
9 杨国荣;;变风量空调系统控制[J];暖通空调;2012年11期
10 李广;;变风量空调系统控制方法探讨[J];科技致富向导;2013年14期
,本文编号:2301782
本文链接:https://www.wllwen.com/guanlilunwen/chengjian/2301782.html