节点文献
基于LS-SVM的燃料电池控制建模的研究
LS-SVM-based Control Model of Fuel Cell
【摘要】 由于直接甲醇燃料电池数学模型的复杂性难以满足工程上对DMFC控制系统的设计,提出一种基于最小二乘支持向量机建模算法,用具有RBF核函数的LS-SVM离线建立DMFC电堆的非线性模型;仿真和实验结果表明了该建模方法具有建模简单、模型精度高等优点,亦证明了该算法的有效性和优越性。研究结果对直接甲醇燃料电池控制系统的建模和控制具有一定的实用价值。
【Abstract】 According to the drawbacks of the models existed which are too complicated, a nonlinear model based on Least Squares Support Vector Machines (LS-SVM) is presented for a family of complex systems with strong nonlinearity such as DMFC. The nonlinear offline model is built by LS-SVM with RBF kernel. The results of simulation demonstrate the effectiveness and advantage of this approach. It is applicable for studying model and controlling of DMFC control system.
【关键词】 直接甲醇燃料电池;
非线性建模;
最小二乘支持向量机;
径向基函数(RBF);
【Key words】 direct methanol fuel cells (DMFC); nonlinear modeling; least squares support vector machines (LS-SVM); radial basis function (RBF);
【Key words】 direct methanol fuel cells (DMFC); nonlinear modeling; least squares support vector machines (LS-SVM); radial basis function (RBF);
【基金】 国家“863”计划发展基金资助(2003AA517020)
- 【文献出处】 系统仿真学报 ,Acta Simulata Systematica Sinica , 编辑部邮箱 ,2005年06期
- 【分类号】TM911.4
- 【被引频次】10
- 【下载频次】306