Title :
Predictive control of proton exchange membrane fuel cell (PEMFC) based on support vector regression machine
Author :
Ren, Yuan ; Cao, Guang-yi ; Zhu, Xin-jian
Author_Institution :
Dept. of Autom., Shanghai Jiaotong Univ., China
Abstract :
A new method of the predictive control for proton exchange membrane fuel cell (PEMFC) 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.
Keywords :
particle swarm optimisation; predictive control; proton exchange membrane fuel cells; regression analysis; support vector machines; PEMFC; particle swarm optimization; predictive control; process plant modeling; proton exchange membrane fuel cell; receding optimization; support vector regression machine; Biomembranes; Control theory; Fuel cells; Mathematical model; Nonlinear systems; Particle swarm optimization; Power system modeling; Predictive control; Predictive models; Protons; Particle Swarm Optimization (PSO); Proton Exchange Membrane Fuel Cell (PEMFC); Support Vector Regression Machine (SVRM); predictive control;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527642
