By Topic

Compressor’s fuzzy logic controller design in proton membrane fuel cell generator

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Movahed, S. ; Sch. of Eng., Shiraz Univ., Shiraz ; Shabani, F. ; Eghtesad, M.

Nowadays, many countries like to decrease their dependency on oil especially in energy generation. Fuel cell energy generation system is one of the most exiting techniques that have many advantages such as being clean, reliable, oil independent, ozone friendly, vibration free, movable and having high efficiency. For ensuring fuel cells correct operation, it is surrounded by many ancillary circuits which consume about 40% of its energy product. About 30% of this consumed energy uses by compressor which provides required air of system. Because of that, it seems wise to control and optimize the performance of compressor to maximize the output energy of system. Generally, compressors do not have any analytical formula, so their performance models by some characteristic charts or empirical formulas. Therefore, in controlling compressors, using model-based controllers may causes error and not be useful. In this case, fuzzy logic controller which is more robust than other conventional controllers can be good candidate. In this study, three fuzzy logic controllers are designed for controlling compressor performance. Matlab/Simulink toolbox is used to simulate system and study the accuracy and correctness of the system. The results show good accuracy of the designed controllers.

Published in:

Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE

Date of Conference:

10-13 Nov. 2008