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基于递推回归法的电缆热路模型特征参数实验分析方法
EXPERIMENTAL ANALYSIS OF CHARACTERISTIC PARAMETER OF CABLE THERMAL CIRCUIT MODEL BASED ON RECURSIVE REGRESSION
【摘要】 为了精确地估计电缆温度,基于递推回归原理研究电缆热路模型特征参数的一种精确、快速的获取方法,并提出一种相应的算法。设计实验平台,在Matlab集成开发环境中分别基于该递推回归法、传统的IEC法分析实验用电缆的特征参数。分别利用基于这些特征参数的电缆热路模型估计电缆内的各层温度。实验结果表明,基于递推回归法分析出的特征参数的电缆热模型得到的电缆温度误差小于基于IEC法的,从而验证该递推回归法分析电缆热路模型特征参数的有效性与精确性。
【Abstract】 In order to estimate accurately the temperature of cable,a method and corresponding algorithm were put forward based on recursive regression to obtain characteristic parameters of cable thermal circuit model accurately and rapidly.The experimental platform was set up,the characteristic parameters of the experiment cable were analyzed in Matlab integrated development environment with the presented approach and traditional IEC method,respectively.The parameters were used to construct the corresponding cable thermal circuit models which were utilized to estimate temperature of the experimental cable inner layers.The experiment results show that the estimation error of the model with the characteristic parameters based on the proposed approach is lower than that of the model with the characteristic parameters based on the IEC method.This indicates that the presented approach is effective and accurate for analyzing characteristic parameters of cable thermal model.
【Key words】 recursive regression; thermal circuit model; characteristic parameter; cable; temperature;
- 【文献出处】 太阳能学报 ,Acta Energiae Solaris Sinica , 编辑部邮箱 ,2016年06期
- 【分类号】TM751
- 【被引频次】4
- 【下载频次】141