@article{(Open Science Index):https://publications.waset.org/pdf/9999719,
	  title     = {Optimal Feedback Linearization Control of PEM Fuel Cell},
	  author    = {E. Shahsavari and  R. Ghasemi and  A. Akramizadeh},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents a new method to design nonlinear
feedback linearization controller for PEMFCs (Polymer Electrolyte
Membrane Fuel Cells). A nonlinear controller is designed based on
nonlinear model to prolong the stack life of PEMFCs. Since it is
known that large deviations between hydrogen and oxygen partial
pressures can cause severe membrane damage in the fuel cell,
feedback linearization is applied to the PEMFC system so that the
deviation can be kept as small as possible during disturbances or load
variations. To obtain an accurate feedback linearization controller,
tuning the linear parameters are always important. So in proposed
study NSGA (Non-Dominated Sorting Genetic Algorithm)-II method
was used to tune the designed controller in aim to decrease the
controller tracking error. The simulation result showed that the
proposed method tuned the controller efficiently.
	    journal   = {International Journal of Energy and Power Engineering},
	  volume    = {8},
	  number    = {11},
	  year      = {2014},
	  pages     = {1736 - 1742},
	  ee        = {https://publications.waset.org/pdf/9999719},
	  url   	= {https://publications.waset.org/vol/95},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 95, 2014},