کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
689525 | 889616 | 2011 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: High-purity control of internal thermally coupled distillation columns based on nonlinear wave model High-purity control of internal thermally coupled distillation columns based on nonlinear wave model](/preview/png/689525.png)
Internal thermally coupled distillation column (ITCDIC) is a frontier of energy saving distillation researches, which is a great improvement on conventional distillation column (CDIC). However its high degree thermal coupling makes the control design a bottleneck problem, where data-driven model leads to obvious mismatch with the real plant in the high-purity control processes, and a first-principle model which is comprised of complex mass balance relations and thermally coupled relations could not be directly used as control model for the bad online computing efficiency. In the present work, wave theory is extended to the control design of ITCDIC with variable molar flow rates, where a general nonlinear wave model of ITCDIC processes based on the profile trial function of the component concentration distribution is proposed firstly; combined with the thermally coupled relations, a novel wave model based generic model controller (WGMC) of ITCDIC processes is developed. The benzene–toluene system for ITCDIC is studied as illustration, where WGMC is compared with another generic model controller based on a data-driven model (TGMC) and an internal model controller (IMC). In the servo control and regulatory control, WGMC exhibits the greatest performances. Detailed research results confirm the efficiency of the proposed wave model and the advantage of the proposed WGMC control strategy.
► The wave velocity of ITCDIC with variable molar flow rates is derived.
► The nonlinear wave model is established based on the wave velocity.
► A novel generic model control strategy based on the wave model is developed.
► The illustration shows its advantages over both traditional data-driven GMC and IMC control strategies.
Journal: Journal of Process Control - Volume 21, Issue 6, July 2011, Pages 920–926