1996
DOI: 10.1016/0098-1354(96)00183-4
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A reduced model approach to estimation and control of a Kamyr digester

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Cited by 22 publications
(15 citation statements)
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“…In fact, as the reactions proceed, the voidage of the chip increases due to the dissolution of the organic material. Wisnewski and Doyle III (1996) and Wisnewski et al (1997) claimed that, through a rede"nition of mass concentrations, it could be possible to overtake some necessary assumptions in earlier Purdue models, namely in calculating the chip porosity. However, this step ahead can be achieved without the inconvenience of having to change the usual industrial basis (mass of wood component per mass of initial oven dry chip)…”
Section: Modelingmentioning
confidence: 99%
“…In fact, as the reactions proceed, the voidage of the chip increases due to the dissolution of the organic material. Wisnewski and Doyle III (1996) and Wisnewski et al (1997) claimed that, through a rede"nition of mass concentrations, it could be possible to overtake some necessary assumptions in earlier Purdue models, namely in calculating the chip porosity. However, this step ahead can be achieved without the inconvenience of having to change the usual industrial basis (mass of wood component per mass of initial oven dry chip)…”
Section: Modelingmentioning
confidence: 99%
“…Due to its superiority, researchers have investigated different MPC concepts for continuous pulp digesters. Some of the studies are focused on the linear MPC concept that tackles problems with linear constraints and dynamics [75,78,82]. Both linearization of the physics-based models and subspace identification from the data were adopted.…”
Section: Discussion and Future Research Directions Of Pulp Digesters mentioning
confidence: 99%
“…The author also proposed an online control architecture for online model adaptation and optimal control of pulp digester. Wisnewski and Doyle [78] analyzed the performance of linear MPC and nonlinear MPC for set-point tracking and unmeasured disturbance rejection. The authors used Hankel-norm approximation to obtain a low-order linear model from an extended Purdue model.…”
Section: Kappa Number Controlmentioning
confidence: 99%
“…Andersson et al 11 and Sixta et al 12 performed comparative analysis on the accuracy of these kinetic models, and concluded that the Purdue model has the best structure in both incorporating the process complexity and optimizing the computational efficiency. Motivated by the modeling efforts and tight regulations on product quality, the model predictive control (MPC) has been widely used for different types of pulp digesters, 13‐18 and these works have been extended to design plantwide control frameworks 19,20 …”
Section: Introductionmentioning
confidence: 99%