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DC Field | Value | Language |
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dc.contributor.author | Yadav G. | |
dc.contributor.author | Kiran G.U. | |
dc.contributor.author | Rao C.S. | |
dc.date.accessioned | 2021-05-05T10:28:04Z | - |
dc.date.available | 2021-05-05T10:28:04Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | Chemical Product and Process Modeling Vol. , , p. - | en_US |
dc.identifier.uri | https://doi.org/10.1515/cppm-2020-0019 | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/15802 | - |
dc.description.abstract | Fluidized Catalytic Cracking (FCC) is a complex process that arises due to feed composition, non-linearities, and dynamic mass and heat interactions in its components. FCC is difficult to model and monitor in industries, and one of the key reasons is that they are multivariable processes. Such processes are highly interacting and that makes the process of controlling even more difficult. The interaction between loops can be quantified easily by dRGA. An easy and effective way of controlling multivariable processes is to implement a centralized control system, considering the interactions between measured and manipulated variables. In this study, a centralized control system is designed for the riser section of the FCC unit. The dRGA method is modified to enhance the closed-loop response by formulating an optimization problem and obtaining an optimal controller settings. A rigorous simulation studies show an 826% reduction in ISE values, a 309% reduction in IAE values, and a 262% reduction in ITAE value of T r i s ${T}_{ris}$ from the dRGA method to the modified dRGA method. Further, IAE values for Y l p g ${Y}_{lpg}$ are reduced by 29% from dRGA to modified dRGA method and 34% from synthesis to modified dRGA method. © 2020 Walter de Gruyter GmbH, Berlin/Boston. | en_US |
dc.title | Robust optimal centralized PI controller for a fluid catalytic cracking unit | en_US |
dc.type | Article | en_US |
Appears in Collections: | 1. Journal Articles |
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