Azala

Optimal Control of Model Reduction Binary Distillation Column

Gorde:
Argitaratua izan da:International Journal of Modern Education and Computer Science vol. 10, no. 1 (Feb 2021), p. 59
Egile nagusia: Nasir Ahmed Alawad
Beste egile batzuk: Muter, Afaf Jebar
Argitaratua:
Modern Education and Computer Science Press
Gaiak:
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
Sarrera elektronikoa:Citation/Abstract
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Laburpena: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
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