Research Title |
Fuzzy-Genetic Systems for a Proton Exchange Membrane Fuel Cell |
Date of Distribution |
2 December 2010 |
Conference |
Title of the Conference |
33rd Electrical Engineering Conference (33rd EECON) |
Organiser |
สถาบันเทคโนโลยีพระจอมเกล้าคุณทหารลาดกระบัง, มหาวิทยาลัยเชียงใหม่, มหาวิทยาลัยเทคโนโลยีมหานคร |
Conference Place |
Centara Duangtawan Hotel |
Province/State |
เชียงใหม่ |
Conference Date |
1 December 2010 |
To |
3 December 2010 |
Proceeding Paper |
Volume |
33 |
Issue |
2 |
Page |
1377-1380 |
Editors/edition/publisher |
|
Abstract |
Modeling and control of a Proton Exchange Membrane Fuel Cell (PEMFC) is a challenge problem since fuel cell is highly nonlinear and some parameters are unknown or only known by the manufacturers. This paper proposed two fuzzy-genetic systems to control a commercial PEMFC system modeled by using neural networks. The simulation results showed the satisfactory control performances and implied that intelligent system can be a good approach for fuel cell modeling and control. |
Author |
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Peer Review Status |
มีผู้ประเมินอิสระ |
Level of Conference |
ชาติ |
Type of Proceeding |
Full paper |
Type of Presentation |
Oral |
Part of thesis |
true |
ใช้สำหรับสำเร็จการศึกษา |
ไม่เป็น |
Presentation awarding |
false |
Attach file |
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Citation |
0
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