本文選題：空中加油技術(shù) + 軟管燃油壓力測(cè)量��； 參考：《西北大學(xué)》2015年碩士論文

【摘要】：隨著空中加油技術(shù)的迅速發(fā)展,空中加油系統(tǒng)的自動(dòng)化、智能化已成為不可阻擋的發(fā)展趨勢(shì)。加油系統(tǒng)各部分燃油狀況的監(jiān)控是空中加油系統(tǒng)的關(guān)鍵技術(shù)之一,它是保證加油過(guò)程順利進(jìn)行的重要基礎(chǔ)。針對(duì)某型軟式空中加油系統(tǒng)軟管燃油壓力難以用傳感器直接測(cè)量的問(wèn)題,本文提出基于流體力學(xué)和基于參數(shù)優(yōu)化SVR的軟管燃油壓力測(cè)量算法,并通過(guò)MATLAB仿真實(shí)驗(yàn)驗(yàn)證算法的有效性。論文主要包括以下幾方面內(nèi)容：首先,分析空中加油系統(tǒng)內(nèi)部結(jié)構(gòu),在理解加油系統(tǒng)軟管燃油壓力測(cè)量原理的基礎(chǔ)上,提出軟管燃油壓力測(cè)量的總體研究方案,鑒于實(shí)際的試驗(yàn)數(shù)據(jù)夾雜大量噪聲且量綱不同,根據(jù)算法需要,酌情選擇濾波、剔除、歸一化的方法對(duì)數(shù)據(jù)進(jìn)行預(yù)處理,以保證數(shù)據(jù)的可靠性；其次,提出基于流體力學(xué)的軟管燃油壓力測(cè)量算法,結(jié)合加油系統(tǒng)的結(jié)構(gòu)參數(shù)和燃油參數(shù),建立符合系統(tǒng)的燃油壓力測(cè)量物理模型,計(jì)算軟管燃油壓力；接著,提出基于參數(shù)優(yōu)化的支持向量回歸機(jī)(SVR, Support Vector Regression)軟管燃油壓力測(cè)量算法,結(jié)合歷史加油試驗(yàn)數(shù)據(jù)建立燃油壓力測(cè)量數(shù)據(jù)模型,完成軟管燃油壓力的計(jì)算；最后,通過(guò)MATLAB仿真,基于流體力學(xué)和基于參數(shù)優(yōu)化SVR的軟管燃油壓力測(cè)量算法的平均相對(duì)誤差分別為0.9365%、1.8405%,比對(duì)兩種算法,前一種算法計(jì)算精度高,后一種算法計(jì)算速度快且建模過(guò)程簡(jiǎn)單,兩種算法都滿足設(shè)計(jì)要求,進(jìn)而提出一種基于神經(jīng)模糊控制的軟管燃油壓力控制思想。
[Abstract]:With the rapid development of aerial refueling technology, the automation and intelligence of aerial refueling system has become an irresistible trend. The monitoring of fuel condition in various parts of the refueling system is one of the key technologies of the aerial refueling system, and it is an important foundation to ensure the smooth progress of the refueling process. In order to solve the problem that the fuel pressure of flexible aerial refueling system is difficult to be directly measured by sensors, an algorithm for measuring fuel pressure of hose based on hydrodynamics and parameter optimization SVR is proposed in this paper. The effectiveness of the algorithm is verified by MATLAB simulation. This paper mainly includes the following aspects: firstly, the internal structure of aerial refueling system is analyzed, and the overall research scheme of hose fuel pressure measurement is put forward on the basis of understanding the principle of fuel pressure measurement of hose in refueling system. In view of the large amount of noise and different dimensions of the actual experimental data, the filtering, culling and normalization methods are selected, as appropriate, according to the need of the algorithm to preprocess the data to ensure the reliability of the data. This paper presents an algorithm for measuring fuel pressure of hoses based on hydrodynamics. Combining the structural parameters and fuel parameters of the fuel system, a physical model of fuel pressure measurement in accordance with the system is established to calculate the fuel pressure of the hose. Based on parameter optimization, a support vector regression machine (SVR) and a fuel pressure measurement algorithm for Support Vector Regression) hose are proposed. The model of fuel pressure measurement data is established by combining with the data of historical refueling test to calculate the fuel pressure of the hose. Finally, the calculation of fuel pressure of the hose is accomplished by MATLAB simulation. The average relative error of the fuel pressure measurement algorithm based on hydrodynamics and parameter optimization SVR is 0.9365 and 1.8405, respectively. Compared with the two algorithms, the former algorithm has a high calculation accuracy, the latter has a fast calculation speed and a simple modeling process. The two algorithms meet the design requirements, and a fuel-pressure control idea based on neural fuzzy control is proposed.
【學(xué)位授予單位】：西北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：V228.17

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本文編號(hào)：1942103