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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Optimization
And Control Of A Dynamical Process By Genetic Algorithm |
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Authors: |
Trong Dao Tran |
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Published in:
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(2010).ECMS 2010 Proceedings
edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs. European Council for Modeling and Simulation.
doi:10.7148/2010 ISBN:
978-0-9564944-1-2 24th
European Conference on Modelling and Simulation, Simulation Meets Global Challenges Kuala
Lumpur, June 1-4 2010 |
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Citation
format: |
Tran, T. D. (2010). Optimization
And Control Of A Dynamical Process By Genetic Algorithm. ECMS 2010
Proceedings edited by A Bargiela S A Ali D Crowley
E J H Kerckhoffs (pp. 206-212). European Council
for Modeling and Simulation. doi:10.7148/2010-0206-0212 |
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DOI: |
http://dx.doi.org/10.7148/2010-0206-0212 |
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Abstract: |
In
this paper, the modeling of a dynamic chemical engineering process is
presented in a highly understandable way using a unique combination of the
simplified fundamental theory and direct hands-on computer simulation. The
main aim is to use them for analysis, optimise and
adaptive control of behavior of dynamical system, especially of a given
chemical reactor. A non-linear mathematical model is required to describe the
dynamic behaviour of a continuous stirred tank
reactor (CSTR). Evolutionary algorithm from the field of artificial
intelligent - Genetic algorithm (GA) is used in this investigation. The optimizations and control of a
chemical reactor processes have been performed in several ways, each one for
a different set of reactor parameters or different cost function. The
optimized and adaptive control chemical reactor processes were used in
simulations with optimization by genetic algorithm and the results are
presented in graphs. Finally, experimental results are reported, followed by
conclusion. |
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