【摘要】：目前,變風(fēng)量空調(diào)系統(tǒng)由于其節(jié)能性、舒適性而逐漸成為了空調(diào)系統(tǒng)的主流。但是,變風(fēng)量空調(diào)系統(tǒng)具有多變量、強(qiáng)耦合、時(shí)變、非線性的特點(diǎn),因此它的運(yùn)行和控制都會(huì)比定風(fēng)量空調(diào)系統(tǒng)難度大。這就限制了變風(fēng)量空調(diào)系統(tǒng)的更廣泛的應(yīng)用。 本論文主要是圍繞著變風(fēng)量空調(diào)系統(tǒng)能夠穩(wěn)定運(yùn)行而進(jìn)行的研究。首先從變風(fēng)量空調(diào)系統(tǒng)目前常用的控制方式和原理出發(fā),分析了變風(fēng)量空調(diào)系統(tǒng)的控制難點(diǎn)以及各控制回路之間的耦合特性。然后將變風(fēng)量空調(diào)系統(tǒng)分為機(jī)組部分和末端部分,對(duì)其進(jìn)行機(jī)理分析,并且通過實(shí)驗(yàn)測(cè)試法得到了機(jī)組和末端部分的數(shù)學(xué)模型和參數(shù)。本文在傳統(tǒng)的多變量系統(tǒng)解耦方法的基礎(chǔ)上提出了基于神經(jīng)網(wǎng)絡(luò)的多變量解耦控制策略,并且設(shè)計(jì)了BP神經(jīng)網(wǎng)絡(luò)解耦器的結(jié)構(gòu)和神經(jīng)元自適應(yīng)PID控制器,通過傳統(tǒng)PID控制算法的參數(shù)確定了控制器權(quán)值的初始值。最后,通過MATLAB仿真實(shí)驗(yàn)證明,所提出的控制方案可以很好地完成系統(tǒng)的解耦和控制任務(wù),并且可以在控制過程中通過學(xué)習(xí)完善控制規(guī)律,具有很好的解耦性和魯棒性。還研究了LABVIEW與MATLAB的混合編程的實(shí)現(xiàn),利用LABVIEW軟件完成了界面設(shè)計(jì),可以給人們一個(gè)更直觀的效果。通過對(duì)變風(fēng)量空調(diào)系統(tǒng)的一系列的研究,使其能夠穩(wěn)定運(yùn)行,達(dá)到節(jié)能和提高室內(nèi)舒適度的目的,此對(duì)智能建筑的能量管理控制具有重要意義。
[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.
【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU831.3

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本文編號(hào)：2301782