کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5005474 | 1369031 | 2006 | 14 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Nonlinear control of a multicomponent distillation process coupled with a binary distillation model as an EKF predictor Nonlinear control of a multicomponent distillation process coupled with a binary distillation model as an EKF predictor](/preview/png/5005474.png)
The work is devoted to design the globally linearizing control (GLC) strategy for a multicomponent distillation process. The control system is comprised with a nonlinear transformer, a nonlinear closed-loop state estimator [extended Kalman filter (EKF)], and a linear external controller [conventional proportional integral (PI) controller]. The model of a binary distillation column has been used as a state predictor to avoid huge design complexity of the EKF estimator. The binary components are the light key and the heavy key of the multicomponent system. The proposed GLC-EKF (GLC in conjunction with EKF) control algorithm has been compared with the GLC-ROOLE [GLC coupled with reduced-order open-loop estimator (ROOLE)] and the dual-loop PI controller based on set point tracking and disturbance rejection performance. Despite huge process/predictor mismatch, the superiority of the GLC-EKF has been inspected over the GLC-ROOLE control structure.
Journal: ISA Transactions - Volume 45, Issue 4, October 2006, Pages 575-588