本文選題：中央空調(diào) + 空氣處理單元　； 參考：《沈陽工業(yè)大學(xué)》2014年碩士論文

【摘要】：如今，全球傳統(tǒng)能源逐漸緊張，新能源尚在開發(fā)與普及當(dāng)中。我國的傳統(tǒng)能源雖然儲(chǔ)量很大，但是人均量在世界平均線以下。隨著我國經(jīng)濟(jì)的高速發(fā)展，舒適的居住和辦公環(huán)境成為國人新的追求目標(biāo)。為滿足人們的現(xiàn)代化需求，中央空調(diào)在現(xiàn)代化樓宇中得到廣泛運(yùn)用。人們的生活、工作舒適度得到了明顯的提高。但是，中央空調(diào)的高能耗問題再次將能源與節(jié)能這一重要研究課題擺在了世人面前。 通過大量閱讀文獻(xiàn)，分析了中央空調(diào)的結(jié)構(gòu)以及運(yùn)行原理和中央空調(diào)節(jié)能控制研究的脈絡(luò)和發(fā)展方向，，從中發(fā)現(xiàn)，中央空調(diào)空氣處理單元的運(yùn)行效率對中央空調(diào)整體運(yùn)行能耗的影響非常大。中央空調(diào)空氣處理單元具有多輸入多輸出、非線性、強(qiáng)耦合等特性。對于此類對象應(yīng)用傳統(tǒng)建模方式很難獲得較為精確的模型。因此，本文利用BP神經(jīng)網(wǎng)絡(luò)對中央空調(diào)空氣處理單元建立模型，為控制策略的研究提供了可靠的對象。由于空氣處理單元為多輸入多輸出復(fù)雜系統(tǒng)，輸入量間存在復(fù)雜聯(lián)系，干擾多并且對輸出量影響較大，一般控制方法很難達(dá)到理想控制效果。所以本文最終選著模糊-PID控制策略。此控制方法通過模糊理論對PID參數(shù)在線整定，比經(jīng)典PID控制策略適應(yīng)性更強(qiáng)，抗干擾能力更為突出。 本文利用MATLAB/SIMULINK仿真環(huán)境，建立實(shí)驗(yàn)系統(tǒng)。通過多組仿真實(shí)驗(yàn)，證實(shí)了建立的中央空調(diào)空氣處理單元神經(jīng)網(wǎng)絡(luò)可以反映出真實(shí)系統(tǒng)的運(yùn)行狀態(tài)，在仿真實(shí)驗(yàn)中可以作為被控對象使用。同時(shí)證實(shí)了對于多輸入多輸出、多干擾的中央空調(diào)空氣處理單元具有很好的控制作用。模糊-PID控制策略可以達(dá)到控制要求。
[Abstract]:Today, the global traditional energy gradually tense, new energy is still in development and popularization.China's traditional energy reserves are large, but the per capita amount is below the world average.With the rapid economic development of our country, comfortable living and office environment has become a new goal for Chinese people.In order to meet the needs of modernization, central air conditioning has been widely used in modern buildings.People's life, work comfort has been significantly improved.However, the high energy consumption of central air-conditioning once again puts the energy and energy conservation in front of the world.Through reading a large number of documents, this paper analyzes the structure and operation principle of central air conditioning, the context and development direction of the research on energy saving control of central air conditioning, and finds out from it,The operation efficiency of central air conditioning unit has a great influence on the whole operation energy consumption of central air conditioning.The air processing unit of central air conditioning has the characteristics of multi-input and multi-output, non-linearity and strong coupling.It is difficult to obtain more accurate models for such objects by applying traditional modeling methods.Therefore, BP neural network is used to model the air processing unit of central air conditioning system, which provides a reliable object for the study of control strategy.Because the air processing unit is a multi-input and multi-output complex system, there is a complex relationship between the input and output, and there is much interference and great influence on the output, so the general control method is difficult to achieve the ideal control effect.So the fuzzy-pid control strategy is chosen in this paper.The fuzzy theory is used to set the parameters of PID online, which is more adaptable than the classical PID control strategy, and the anti-jamming ability is more prominent.In this paper, the MATLAB/SIMULINK simulation environment is used to establish the experimental system.It is proved that the neural network of air processing unit of central air conditioning system can reflect the running state of the real system and can be used as the controlled object in the simulation experiment.At the same time, it is proved that the air processing unit of central air conditioning system has good control function for multi-input, multi-output and multi-interference.Fuzzy-pid control strategy can meet the control requirements.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TB657.2;TP273

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