【摘要】：水泵廣泛使用在國民經(jīng)濟(jì)的各個(gè)部門，而隨著國民經(jīng)濟(jì)的發(fā)展，對(duì)水泵及其輸運(yùn)系統(tǒng)的運(yùn)行安全性要求越來越高。然而對(duì)于水泵的研究還遠(yuǎn)遠(yuǎn)不能滿足實(shí)際需要，尤其是水泵全特性參數(shù)的研究。水泵全特性參數(shù)能夠表示水泵—水輪機(jī)的各種工況，對(duì)于水泵及其輸運(yùn)系統(tǒng)的水力過渡過程的計(jì)算和分析至關(guān)重要，而水力過渡過程的計(jì)算直接影響水泵輸運(yùn)系統(tǒng)的設(shè)計(jì)與建成后的運(yùn)行安全。雖然在水泵全特性數(shù)據(jù)的獲取與預(yù)測(cè)方面，中外的學(xué)者們做了大量工作，但是截止目前實(shí)測(cè)數(shù)據(jù)稀少，預(yù)測(cè)工作的精度仍有待提高，因此尋找更好的模型對(duì)水泵全特性參數(shù)進(jìn)行預(yù)測(cè)具有重要的實(shí)際意義。 本文的主要研究內(nèi)容和成果有： 1、詳細(xì)介紹了水泵的相關(guān)理論，分析了水泵全特性曲線的應(yīng)用，并對(duì)水泵全特性數(shù)據(jù)的獲取及預(yù)測(cè)方法進(jìn)行了總結(jié)。 2、對(duì)神經(jīng)網(wǎng)絡(luò)的神經(jīng)元模型、學(xué)習(xí)算法、分類及常用模型進(jìn)行了介紹，分析對(duì)比了幾種神經(jīng)網(wǎng)絡(luò)的特點(diǎn)。對(duì)粒子群算法原理及其發(fā)展進(jìn)行了介紹。構(gòu)建了采用自適應(yīng)慣性權(quán)重的粒子群算法來優(yōu)化RBF神經(jīng)網(wǎng)絡(luò)的預(yù)測(cè)模型。 3、在MATLAB R2012b平臺(tái)上，利用MATLAB提供的神經(jīng)網(wǎng)絡(luò)工具箱和GUI工具箱，基于提出的預(yù)測(cè)模型，，開發(fā)出水泵全特性曲線參數(shù)預(yù)測(cè)軟件。依據(jù)現(xiàn)有數(shù)據(jù)對(duì)未知水泵的全特性參數(shù)進(jìn)行預(yù)測(cè)，采用合理方法對(duì)預(yù)測(cè)結(jié)果進(jìn)行評(píng)價(jià)分析，并與其它方法進(jìn)行對(duì)比，體現(xiàn)出本文方法的優(yōu)勢(shì)。 4、將開發(fā)的預(yù)測(cè)軟件應(yīng)用于實(shí)際工程中，優(yōu)化了水力過渡過程的計(jì)算分析，對(duì)于水泵輸運(yùn)系統(tǒng)中可能發(fā)生的問題，提出合理的防護(hù)措施。
[Abstract]:Pumps are widely used in various sectors of the national economy, but with the development of the national economy, the operational safety requirements of pumps and their transport systems are becoming more and more high. However, the research on the pump is far from meeting the actual needs, especially the study of the full characteristic parameters of the pump. The full characteristic parameters of the pump can express the various working conditions of the pump and turbine, which is very important for the calculation and analysis of the hydraulic transition process of the pump and its transportation system. The calculation of hydraulic transition process directly affects the design and operation safety of pump transportation system. Although scholars at home and abroad have done a great deal of work in obtaining and predicting the full characteristic data of pumps, the precision of prediction work needs to be improved because of the scarcity of measured data so far. Therefore, it is of great practical significance to find a better model to predict the full characteristic parameters of the pump. The main contents and achievements of this paper are as follows: 1. The related theory of water pump is introduced in detail, the application of the full characteristic curve of water pump is analyzed, and the method of obtaining and predicting the data of the whole characteristic of water pump is summarized. 2. The neuron model, learning algorithm, classification and common models of neural network are introduced, and the characteristics of several neural networks are analyzed and compared. The principle and development of particle swarm optimization (PSO) are introduced. An adaptive particle swarm optimization (PSO) algorithm is proposed to optimize the prediction model of RBF neural network. 3. On the platform of MATLAB R2012b, using the neural network toolbox and GUI toolbox provided by MATLAB, based on the proposed prediction model, the software for predicting the parameters of the full characteristic curve of water pump is developed. Based on the existing data, the full characteristic parameters of the unknown pump are forecasted. The reasonable method is used to evaluate and analyze the prediction results, and compared with other methods, the advantages of this method are reflected. 4. The developed prediction software is applied to practical engineering, the calculation and analysis of hydraulic transition process are optimized, and reasonable protective measures are put forward for the problems that may occur in the pump transportation system.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TV136.2;TH38

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本文編號(hào)：2329033