Dynamic Modeling, Simulation and Multivariable Control Strategy Applied to Catalytic Cracking Unit

Mythily, M.; Manamalli, D.; Manikandan, P.

doi:10.1109/pacc.2011.5978937

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Figure (1) shows the description of a FCC unit [8]. The nonlinear model, along with steady state parameter values, is given below by McFarlane et al [12].…”

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confidence: 99%

A Study of the Dynamics and Control of the Model IV Fluidized Catalytic Cracking Process

Aqar¹

2014

Journal of Petroleum Research and Studies

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Fluid catalytic cracking (FCC) is one of the most important chemical units in oil refineries due to its economic benefits. This research work concentrates on improving the control system of the Model IV FCC unit where dynamic modeling and the controllability based on the McFarlane et al. (1993) model. Different open-loop tests were carried out in the wash oil flow rate (F1) and the furnace fuel flow rate (F5) to find the FCC models using Sundaresan and Krishnaswamy (S&K) and fraction incomplete response (FIR) methods. The riser temperature (Tr) and the regenerator bed temperature (Tg) were chosen as the control variables while (F1 and F5) were selected as the corresponding manipulated variables based on the relative gain array (RGA). PI controller tuning parameters were evaluated using the internal model control (IMC) method and different closed-loop control responses were examined for both set point tracking and disturbance rejection changes. Additional adjustments to the IMC filter constant were employed to further improve the closed loop responses for the system.

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“…Figure (1) shows the description of a FCC unit [8]. The nonlinear model, along with steady state parameter values, is given below by McFarlane et al [12].…”

mentioning

confidence: 99%

A Study of the Dynamics and Control of the Model IV Fluidized Catalytic Cracking Process

Aqar¹

2014

Journal of Petroleum Research and Studies

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Design and Implementation of Fractional Order PI Controller for FCCU

ThayaaSree

Mythily

Vasanthi

et al. 2021

Advances in Automation, Signal Processing, Instrumentation, and Control

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Modelling, control and supervisory optimization of generalized predictive control in catalytic cracking reactor

Mani

Deivasigamani

Panda³

et al. 2021

International Journal of Chemical Reactor Engineering

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As gasoline demand increases, the efficiency of operation of Fluidized Catalytic Cracking Unit (FCCU) becomes paramount importance. In this paper, a dynamic model for FCCU is simulated and integrated with yield model in order to estimate the yield of products namely gasoline, light gases and coke. Conventional PI controllers are designed for the control of reactor and regenerator temperature. Since, the complete reaction occurs in a very short duration, the controllers are tuned so as to achieve shorter settling time and minimum overshot. Further in order to increase the yield, optimization of FCCU using Generalized Predictive Controller (GPC) at supervisory level is attempted. Through optimization of objective function, the GPC will provide optimized set point for the PI controller in order to maintain maximum gasoline yield.

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Dynamic Modeling, Simulation and Multivariable Control Strategy Applied to Catalytic Cracking Unit

Cited by 4 publications

References 2 publications

A Study of the Dynamics and Control of the Model IV Fluidized Catalytic Cracking Process

A Study of the Dynamics and Control of the Model IV Fluidized Catalytic Cracking Process

Design and Implementation of Fractional Order PI Controller for FCCU

Modelling, control and supervisory optimization of generalized predictive control in catalytic cracking reactor

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