2006
DOI: 10.1016/j.ces.2005.12.009
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Estimator-based control of reactive distillation system: Application of an extended Kalman filtering

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Cited by 36 publications
(28 citation statements)
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“…Now (23) The component balance equation around the reboiler is (24) Similar with the reflux drum holdup, the column base holdup ( ) was also remained very close to constant and, consequently, (24) can be rewritten as (25) Substitution of (25) into (23) gives (26) In discretized form (27) Substituting (27) …”
Section: ) Combined Transformer and External Controllermentioning
confidence: 98%
See 1 more Smart Citation
“…Now (23) The component balance equation around the reboiler is (24) Similar with the reflux drum holdup, the column base holdup ( ) was also remained very close to constant and, consequently, (24) can be rewritten as (25) Substitution of (25) into (23) gives (26) In discretized form (27) Substituting (27) …”
Section: ) Combined Transformer and External Controllermentioning
confidence: 98%
“…Extended Kalman Filter: The Kalman filter techniques are discussed elsewhere ([10]- [14] and [26]) and the EKF algorithm is presented here in brief. The EKF is computed in two steps.…”
Section: ) Combined Transformer and External Controllermentioning
confidence: 99%
“…Venkateswarlu and Jeevan Kumar [10] have presented an inferential state estimation scheme based on an extended Kalman filter (EKF) with optimal selection of sensor locations using principal component analysis (PCA) for composition estimation in multicomponent reactive batch distillation. Olanrewaju and Al-Arfaj [11] have shown that a state estimator (Extended Kalman filter) can be successfully designed and implemented in a feedback control system of reactive distillation. They showed that the estimator-based system is robust against a moderate measurement errors and erroneous initial conditions.…”
Section: Introductionmentioning
confidence: 99%
“…While, non-linear method includes artificial neural network (ANN) [7][8][9][10][11][12][13][14][15], and support vector regression (SVR) [5,[16][17][18]. Whereas, [19] and [20] proposed the first soft sensors for online monitoring in reactive distillation column's (RDC). They used extended Kalman Filter approach to estimate the product purity in the column.…”
Section: *Author For Correspondencementioning
confidence: 99%