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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.
Details
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