WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/1668,
	  title     = {Nonlinear Control of a Continuous Bioreactor Based on Cell Population Model},
	  author    = {Mahdi Sharifian and  Mohammad Ali Fanaei},
	  country	= {},
	  institution	= {},
	  abstract     = {Saccharomyces cerevisiae (baker-s yeast) can exhibit
sustained oscillations during the operation in a continuous bioreactor
that adversely affects its stability and productivity. Because of
heterogeneous nature of cell populations, the cell population balance
models can be used to capture the dynamic behavior of such cultures.
In this paper an unstructured, segregated model is used which is
based on population balance equation(PBE) and then in order to
simulation, the 4th order Rung-Kutta is used for time dimension and
three methods, finite difference, orthogonal collocation on finite
elements and Galerkin finite element are used for discretization of the
cell mass domain. The results indicate that the orthogonal collocation
on finite element not only is able to predict the oscillating behavior of
the cell culture but also needs much little time for calculations.
Therefore this method is preferred in comparison with other methods.
In the next step two controllers, a globally linearizing control (GLC)
and a conventional proportional-integral (PI) controller are designed
for controlling the total cell mass per unit volume, and performances
of these controllers are compared through simulation. The results
show that although the PI controller has simpler structure, the GLC
has better performance.},
	    journal   = {International Journal of Chemical and Molecular Engineering},
	  volume    = {3},
	  number    = {3},
	  year      = {2009},
	  pages     = {173 - 182},
	  ee        = {https://publications.waset.org/pdf/1668},
	  url   	= {https://publications.waset.org/vol/27},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 27, 2009},
	}