| Fault Detection Based on Super-Twisting Sliding Mode for PEM Fuel Cells |
| کد مقاله : 1051-THFC |
| نویسندگان |
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علی اکبر صادقی *1، احمدرضا ولی2، محمد مهدی برزگری3، محمدعلی علیرضاپوری4 1مجتمع دانشگاهی برق، جنگال و مهندسی سایبرنتیک - پژوهشکده کنترل و رباتیک - مرکز کنترل فرایند 2گروه کنترل مجتمع دانشگاهی برق، جنگال و مهندسی سایبرنتیک، دانشگاه صنعتی مالک اشتر، تهران، ایران 3پردیس شمال دانشگاه صنعتی مالک اشتر، پژوهشکده سیستمهای انرژی و پیل سوختی 4پردیس شمال دانشگاه صنعتی مالک اشتر |
| چکیده مقاله |
| A fuel cell is an energy converter which converts the chemical energy to the direct current electricity through an electrochemical reaction. Polymer electrolyte membrane (PEM) fuel cell is one of the types of fuel cells which has various industrial and military applications. The PEM fuel cells cannot work safely without any fault detection and identification approaches and are exposed to mechanical and system faults which may result in disastrous events. Therefore, we design robust fault detection and identification approach based on the super-twisting second order sliding mode method. Sliding mode control has been an active area of research for many decades due its (at least theoretical) invariance to a class of uncertainty known as matched uncertainty. More recently these ideas have been exploited extensively for the development of robust observers and have found applications in the area of fault detection and fault tolerant control. Super twisting version of sliding mode family has smoother signal in comparison with conventional first order sliding mode. |
| کلیدواژه ها |
| Polymer electrolyte membrane (PEM) fuel cell system, Fault detection and identification, Robust Observer, super-twisting sliding mode |
| وضعیت: چکیده برای ارائه پذیرفته شده است |