Model predictive control of an industrial pyrolysis gasoline hydrogenation reactor

Arpornwichanop, Amornchai; Kittisupakorn, Paisan; Patcharavorachot, Yaneeporn; Mujtaba, Iqbal M.

doi:10.1016/j.jiec.2007.09.009

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Liu et al [9] developed a reduced order nonlinear dynamic model through lumping via OCM. Arpornwichanop et al [39] investigated the implementation of a nonlinear model predictive control (MPC) algorithm for controlling an industrial fixed-bed reactor. Then, Lianghong Liu et al [10] developed a methodology for on-line process identification based on nonlinear programming techniques.…”

Section: Mechanism Modeling and Identification Modelingmentioning

confidence: 99%

The Control of Fixed-Bed Reactors for Biomass Pyrolysis: An Overview

Wang

Chen

et al. 2012

AMR

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In this paper, a review of the control of fixed-bed reactors for biomass pyrolysis is presented, which is divided into several parts: the mechanism and identification modeling, model reduction methods and system parameter estimation and control methods of fixed-bed reactors etc. Fixed-bed reactors in chemical industry are much similar with those in biomass pyrolysis, so the control methods of fixed-bed reactors in chemical industry can be applied to biomass pyrolysis processes. As a result, some comments are given about control strategies in this field

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Section: Mechanism Modeling and Identification Modelingmentioning

confidence: 99%

The Control of Fixed-Bed Reactors for Biomass Pyrolysis: An Overview

Wang

Chen

et al. 2012

AMR

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“…This statement of fact leads to the proposition of alternative controlled variable and a more suitable control algorithm to improve the process control and the global process efficiency. In this paper, due to its robustness and its successful implementation in numerous industries [26,27], an NMPC approach is presented to improve the process control, based on a setpoint tracking control. The crystal mass is used as controlled variable and the nonlinear predictive approach is used as control algorithm instead of the linear PID controller.…”

Section: Introductionmentioning

confidence: 99%