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Tran, T.D., Optimization and Control of a Dynamical Process by Genetic Algorithm (2010). (24rd European Conference on Modelling and Simulation - ECMS 2010, Kuala Lumpur, Malaysia, P.206 - 211). ISBN:978-0-9564944-0-5.
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 behavior of dynamical system. 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 dynamical process have been performed in several ways, each one for a different set of reactor parameters or different cost function. The optimized and adaptive control dynamical 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.