【摘要】：水泵應用于國民經(jīng)濟和社會發(fā)展的各個領域,其技術性能的好壞影響著應用效果的可靠性,故獲得水泵的各種性能參數(shù)是很有必要的。在一般含泵裝置的工程應用中,通過水泵的性能曲線來研究水泵的運行情況,但在泵系統(tǒng)的水力過渡過程(如水錘的計算及分析)的研究中,就需要用能反映在任意可能運行條件下的泵運行特性的全特性曲線。雖然有很多研究人員做過對水泵全特性曲線的預測工作,但結(jié)果還不夠精確,不能滿足某些實際工程應用的需要,且沒有較實用的泵全特性預測軟件。所以對水泵全特性曲線資料的預測在理論研究和實際工程應用價值方面均具有重要意義。本文的研究內(nèi)容和成果有： 1、對水泵全特性曲線的幾種表現(xiàn)方法進行研究分析后,發(fā)現(xiàn)x-WH及x-WM坐標水泵全面特性曲線在運用中廣泛使用。對比幾種神經(jīng)網(wǎng)絡模型和算法,提出遺傳算法和徑向基函數(shù)神經(jīng)網(wǎng)絡相結(jié)合的GARBF神經(jīng)網(wǎng)絡模型。 2、運用GARBF神經(jīng)網(wǎng)絡模型,開發(fā)出以MATLAB為設計平臺的預測水泵全特性曲線的工程軟件。以已知的幾個比轉(zhuǎn)數(shù)的水泵全特性曲線資料做為樣本,進行訓練預測,可以得到任意比轉(zhuǎn)數(shù)泵的全特性曲線資料(以x-WH及x-WM曲線資料為表現(xiàn)方法)。 3、提出比較水泵全特性曲線的幾種預測方法的評價系統(tǒng),并運用相關系數(shù)等評價指標對用GARBF神經(jīng)網(wǎng)絡法的預測結(jié)果與已知樣本資料進行擬合度判斷。結(jié)果顯示該方法的預測效果較好。并利用該評價系統(tǒng)對用GARBF網(wǎng)絡法與四項式擬合,及BP神經(jīng)網(wǎng)絡法預測的水泵全特性曲線資料進行擬合度判斷,結(jié)果表明在預測水泵全特性曲線資料(尤其對離心泵)方面,GARBF網(wǎng)絡法比其他預測法準確度高。
[Abstract]:Water pump is applied in various fields of national economy and social development, and its technical performance affects the reliability of application effect, so it is necessary to obtain various performance parameters of water pump. In the general engineering application of pump equipment, the performance curve of pump is used to study the running condition of pump, but in the hydraulic transition process of pump system (such as the calculation and analysis of water hammer), It is necessary to use a full characteristic curve that can reflect the pump operating characteristics under any possible operating conditions. Although many researchers have done the prediction of the full characteristic curve of the pump, the results are not accurate enough to meet the needs of some practical engineering applications, and there is no practical software for predicting the full characteristics of the pump. Therefore, the prediction of the full characteristic curve of water pump is of great significance in both theoretical research and practical engineering application value. The main contents and achievements of this paper are as follows: 1. After studying and analyzing several performance methods of water pump's full characteristic curve, it is found that the x-WH and x-WM coordinate water pump's overall characteristic curve is widely used in application. By comparing several neural network models and algorithms, a GARBF neural network model combining genetic algorithm and radial basis function neural network is proposed. 2. Using the GARBF neural network model, the engineering software of predicting the full characteristic curve of water pump based on MATLAB is developed. Based on the known total characteristic curves of pumps with specific rotation number as samples and training prediction, the full characteristic curve data of arbitrary specific rotation pumps can be obtained (represented by x-WH and x-WM curves). 3. The evaluation system of several forecasting methods for comparing the full characteristic curve of water pump is put forward, and the fitting degree between the prediction result of GARBF neural network method and the known sample data is judged by using correlation coefficient and other evaluation indexes. The results show that this method has good prediction effect. The evaluation system is used to judge the fitting degree of the whole characteristic curve of water pump predicted by GARBF network method and quaternion method and BP neural network method. The result shows that the whole characteristic curve data of pump (especially for centrifugal pump) are predicted. The accuracy of GARBF network method is higher than that of other prediction methods.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH38;TP319

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