摘要
为提高低压大流量滑油泵试验器流量计量的准确性,针对计量过程中流量影响因素恒定控制难的问题,分析了流量计量过程的特性,确定了影响流量计量精度的主要因素:滑油泵出口压力、滑油温度和滑油泵转速^([1])。为消除这三种因素对计量的影响,提出了带回归系数的流量补偿方法。为确定回归参数,采用多元线性回归算法^([2]),建立多元线性回归模型,并结合大量的实验数据,利用Madab对回归模型求解,最终求得流量回归系数并应用到控制系统中。实践证明,该方法提高了试验器的计量精度,减少了实验次数,对两种标准泵计量20余次,计量误差均在±0.3 L之內,满足使用条件。
To improve the accuracy of flow measurement in the low pressure high flow lubricating pump test bench,and solve the difficult problem not constantly to control flow affecting in the metering process,the flow measurement characteristics are studied,and the main factors that affect the flow measurement accuracy such as outlet pressure of lubricating pump,temperature of lubricating oil and the speed of lubricating pump are determined.To eliminate the influence of three factors on the measurement,flow compensation method is presented with a regression coefficient.Using multiple linear regression algorithm and establishing test bench mathematical model of multiple linear regression,the rate regression parameters are determined.Moreover,by using the Matlab regression model and combining with a large number of experimental data,the final regression coefficients of flow are acquired and applied to the actual.Practice shows that this method reduces the number of experiments and improves the accuracy of test results.The two standard pumps are measured more than 20 times,as a result that the measurement errors are within ± 0.3 L,which satisfies the conditions of use.
出处
《测控技术》
CSCD
北大核心
2014年第11期118-121,125,共5页
Measurement & Control Technology
关键词
滑油泵试验器
流量计量
修正系数
线性回归
MATLAB
lubricating pump test bench
flow measurement
correction factor
linear regression
Matlab