基于最小二乘支持向量机的混合动力挖掘机负载功率预测  

Load prediction of hybrid excavator based on least square support vector machine

作　　者：徐淼[1] 赵丁选[1] 倪涛[1] 徐春博[1] 

机构地区：[1]吉林大学机械科学与工程学院,长春130022

出　　处：《吉林大学学报（工学版）》2015年第1期133-138,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：'863'国家高技术研究发展计划项目(2009AA044403)

摘　　要：为实现液压挖掘机并联式混合动力总成与负载功率的精确匹配,在对变量泵工作原理分析的基础上,提出基于最小二乘支持向量机(LS-SVM)算法的双联式恒功率变量泵功率预测模型。以液压挖掘机实际挖掘作业时采集的载荷谱作为训练样本,以泵出口压力、负流量控制压力和极限载荷控制压力作为训练模型的输入,以泵的排量作为输出建立模型,从而使模型对于作业环境具有更好的适用性。用网格搜索和交叉验证的方法对LS-SVM的参数进行了优化,研究结果表明该模型具有良好的预测精度和泛化能力。In the search of parallel hybrid hydraulic excavator power matching, a power prediction model is proposed based on Least Square Support Vector Machine （LS-SVM） algorithm for constant power variable duplex pump. Based on the analysis of the principle of variable capacity pump, the load spectra obtained from actual excavator operations are used as training samples, the pump outlet pressure, the pilot secondary pressure and the variable displacement pressure are taken as the input, and the pump displacement is taken as the output to build the model. Such the model has better adaptability to the working environment. The LS-SVM parameters are optimized with grid-search and cross-validation methods. Experiment results show that the proposed model has good prediction accuracy and generalization capacity.

关 键 词：动力机械工程 混合动力挖掘机 功率匹配 泵功率预测 最小二乘支持向量机 

分 类 号：TH137[机械工程—机械制造及自动化] TP18[自动化与计算机技术—控制理论与控制工程]