Predictive control of proton exchange membrane fuel cell (PEMFC) based on support vector regression machine

被引：0
|
作者：
Ren, Y [1 ]
Cao, GY [1 ]
Zhu, XJ [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 20030, Peoples R China
来源：
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词：
Support Vector Regression Machine (SVRM); Proton Exchange Membrane Fuel Cell (PEMFC); Particle Swarm Optimization (PSO); predictive control;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new method of the predictive control for Proton Exchange Membrane Fuel Cell (PEM FC) based on support vector regression machine is presented and the support vector regression machine is constructed. The process plant is modeled on SVRM The predictive control law is obtained by using the Particle Swarm Optimization(PSO). The simulation and the results show that the support vector regression machine and the PSO receding optimization applied to the PEMFC predictive control have good performance.
引用
收藏
页码：4028 / 4031
页数：4
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