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基于WVPSO算法的离心泵空化试验数据拟合

Fitting of Centrifugal Pump Cavitation Test Data Based on WVPSO Algorithm

  • 摘要: 为了更好地拟合离心泵空化试验数据,搭建了卧式离心泵闭式空化试验台,采集了空化试验数据。首先对空化实验数据进行常规的3次、4次、5次、6次多项式拟合,其中5次多项式拟合方法对于空化试验数据的拟合效果较好,但随着拟合次数的增加,空化曲线的震荡现象越发严重。其次采用PSO和WVPSO算法分别对空化试验数据进行分段多项式拟合,通过对比两种算法的拟合结果,发现WVPSO算法对于数据的拟合效果更好,其能够消除多项式拟合后空化曲线的震荡现象,使得空化曲线更加光滑。

     

    Abstract: In order to better fit the cavitation test data of the centrifugal pump,this paper sets up a closed horizontal centrifugal pump cavitation test rig and collects the cavitation test data. Firstly,three,four,five and six times of normal polynomial fitting are performed on the cavitation test data. The fitting effect of the five-order polynomial fitting method on the cavitation test data is better,but with the increase in fitting times,the oscillation of the cavitation curve becomes more serious. Secondly,PSO and WVPSO algorithms are used to perform piecewise polynomial fitting of the cavitation test data respectively. By comparing the fitting results of the two algorithms,it is found that WVPSO algorithm has a better fitting effect on the data,and it can eliminate the oscillation phenomenon of the cavitation curve after polynomial fitting,making the cavitation curve smoother.

     

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