Evolutionary Algorithms for Controller Tuning of Tert-Amyl-Methyl-Ether Reactive Distillation  

作　　者：Alireza Behroozsarand David AWood 

机构地区：[1]Faculty of Chemical Engineering,Urmia University of Technology,Urmia,Iran [2]DWA Energy Limited,Lincoln,United Kingdom

出　　处：《Journal of Systems Science and Systems Engineering》2020年第3期325-343,共19页系统科学与系统工程学报（英文版）

摘　　要：Efficient tuning of the coefficients used by proportional-integral-derivative(PID)controllers enhances their performance.For highly non-linear systems,optimization algorithms are required to make the PID controllers more responsive to disturbances.The production of tert-amyl-methyl-ether(TAME),an essential additive for gasoline,in reactive distillation columns integrates highly non-linear reaction and separation processes.On the other hand,TAME distillation is an azeotrope distillation process,therefore non-linearity of this process is more complex than that of conventional distillation.PID-controller tuning methods applying a genetic algorithm(GA)and a particle swarm optimization(PSO)algorithm are compared using a dynamic simulation that integrates the optimization algorithms with the HYSYS process simulator.The PID controller response trends are analyzed following the introduction of a significant disturbance to the TAME reactive distillation column(i.e.,a ten percent change in the methanol feed temperature).The PSO PID controller tuning method that minimizes the integral of the absolute error(IAE)as its objective function significantly outperforms the GA tuning method.The novel PID-tuning methodology developed has more extensive application potential.

关 键 词：TAME azeotropic reactive distillation PID-controller tuning particle swarm optimization genetic algorithm real-time controller optimization 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]