本文選題：中央空調(diào)系統(tǒng) + 變風(fēng)量空調(diào)��； 參考：《沈陽建筑大學(xué)》2013年碩士論文

【摘要】：由于中央空調(diào)系統(tǒng)在人們生活中的應(yīng)用越來越廣泛,空調(diào)系統(tǒng)能耗占建筑領(lǐng)域能耗的比重越來越大,因此如何運(yùn)用智能控制技術(shù)對其進(jìn)行有效的節(jié)能控制已成為當(dāng)今控制領(lǐng)域的熱點。而變風(fēng)量空調(diào)系統(tǒng)作為中央空調(diào)系統(tǒng)中最重要的一種節(jié)能效果較為顯著的系統(tǒng),將成為今后空調(diào)領(lǐng)域研究的核心對象,但變風(fēng)量空調(diào)系統(tǒng)是一種多變量、大滯后、非線性和不確定性的系統(tǒng),傳統(tǒng)PID控制難以滿足其多變量動態(tài)控制的要求,為了改善空調(diào)系統(tǒng)的控制性能,達(dá)到良好的節(jié)能效果,本論文以實際工程作為背景,提出了三種改進(jìn)的控制器設(shè)計方案,并利用不同的智能控制算法對其溫度控制進(jìn)行合理優(yōu)化,分析MATLAB仿真實驗結(jié)果,得到最優(yōu)的控制策略。 本論文主要做了以下幾個方面的工作： 1.以實際工程作為背景,結(jié)合某商場C館的設(shè)計對其所采用的樓宇監(jiān)控系統(tǒng),空調(diào)系統(tǒng)的組成、工作原理及各空調(diào)組成部分,如冷熱源系統(tǒng)、新風(fēng)機(jī)組及空調(diào)機(jī)組的控制原理及特點進(jìn)行說明。 2.針對中央空調(diào)系統(tǒng)多變量、非線性、大滯后及不確定性的特點,本論文提出三種不同的控制器設(shè)計方案,分別為遞歸小波神經(jīng)網(wǎng)絡(luò)預(yù)測控制、模糊神經(jīng)網(wǎng)絡(luò)預(yù)測控制及T-S模糊遞歸神經(jīng)網(wǎng)絡(luò)預(yù)測控制,并利用智能控制算法對其進(jìn)行控制研究。 3.建立變風(fēng)量空調(diào)末端控制房間的數(shù)學(xué)模型,確定模型參數(shù)。并利用流程圖說明空調(diào)系統(tǒng)控制方法的實現(xiàn)。在此基礎(chǔ)上進(jìn)行MATLAB仿真實驗,對仿真結(jié)果進(jìn)行分析,與傳統(tǒng)PID控制比較,尋求最優(yōu)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.
【學(xué)位授予單位】：沈陽建筑大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TU831;TP273

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