Optimal Control of Model Reduction Binary Distillation Column

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Publicat a:	International Journal of Modern Education and Computer Science vol. 10, no. 1 (Feb 2021), p. 59
Autor principal:	Nasir Ahmed Alawad
Altres autors:	Muter, Afaf Jebar
Publicat:	Modern Education and Computer Science Press
Matèries:	Distillation Evolutionary computation Proportional integral derivative Robustness (mathematics) Optimal control Energy consumption Model reduction Composition Optimization Computer science Optimization techniques Genetic algorithms Neural networks Process controls Controllers Copyright Computer engineering Energy efficiency Education Copyrights College Faculty Researchers Engineering Energy Conservation Programming Algorithms Calculus
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Descripció
Resum:	A binary distillation process with desired composition rate is considered. The aim is to find a control (Top and bottom compositions) which is optimal with respect to energy consumption and which is robust at the same time with respect to the response speed(less time) and minimum overshot. The solution approach is based on the formulation of two optimization techniques, Invasive Wood (IWO) and Differential Evolution (DE) with respect to Integral Square Error (ISE) and Integral Absolute Error (IAE) fitness function with using Proportinal_Integral-Derivative (PID) controller. An overall model including the dynamics of the distillation process is assumed with model reduction methods. This optimal control is compared with classical approach. The numerical results are presented and showed the effectiveness of the proposed control. MATLAB package is used for simulation and analysis.
ISSN:	2075-0161 2075-017X
DOI:	10.5815/ijmecs.2021.01.05
Font:	Education Database