On-line state and parameter estimation of EPDM polymerization reactors using a hierarchical extended Kalman filter

Li, Rujun; Corripio, Armando B.; Henson, Michael A.; Kurtz, Michael J.

doi:10.1016/j.jprocont.2004.03.002

Cited by 31 publications

(15 citation statements)

References 31 publications

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“…Moreover, Larsen's method allows to merge multi-rate measurements, enabling the use of multiple sensors and tracking algorithms. Larsen's method is sub-optimal for non-linear systems and in the presence of multi-rate measurements, but has a very low computational load compared to optimal methods (e.g., Filter Recalculation method, [22], [23]). The analysis in Ref.…”

Section: Integration Of the Measurements In The Navigation Filtermentioning

confidence: 99%

Vision-based navigation for autonomous space rendezvous with non-cooperative targets

Comellini

Zenou

Espinosa

et al. 2020

2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA

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This study addresses the issue of vision-based navigation for space rendezvous with non-cooperative targets. After a brief description of the scenario and its peculiarities, the theory underlying monocular edges-based tracking for pose estimation is recalled and an innovative tracking algorithm is formally developed and implemented. This algorithm is coupled with a dynamic Kalman Filter propagating the dynamics which underlies a space rendezvous. The navigation filter increases the robustness of target position and attitude estimation, and allows the estimation of target translational velocity and rotation rate using only pose measurements. Moreover, the filter implements a computationally efficient delay management technique that allows merging the delayed and infrequent measurements typical of vision-based navigation. The performance of the algorithm is tested in different scenarios with high fidelity synthetic images.

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Section: Integration Of the Measurements In The Navigation Filtermentioning

confidence: 99%

Vision-based navigation for autonomous space rendezvous with non-cooperative targets

Comellini

Zenou

Espinosa

et al. 2020

2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA

View full text Add to dashboard Cite

show abstract

“…The parameter estimation procedure was formulated as a nonlinear optimization procedure subject to hard and soft constraints. Li et al 11 proposed a hierarchical extended Kalman filter design to estimate unmeasured state variables and key kinetic parameters of a continuous ethylene-propylene-diene polymer reactor. Khare et al 12,13 developed a manually implemented iterative parameter estimation methodology, which adjusted parameters manually to ensure that they could match the data for each grade.…”

Section: Developed a Technique For Determining Kinetic Parameters Of mentioning

confidence: 99%

“…A parametric sensitivity matrix was used to provide information about the influence of each kinetic parameter on both model predictions and their correlation with each other. Conversely, most of these studies [7][8][9][10][11][12][13][15][16][17][18][19][20] did not attempt to estimate the kinetic parameters of polymerization processes from MWDs, due to the complexity of MWD modeling and calculation. As a result, these approaches need large amounts of plant data to estimate parameters and generate models.…”

Section: Developed a Technique For Determining Kinetic Parameters Of mentioning

confidence: 99%

Kinetic parameter estimation of HDPE slurry process from molecular weight distribution: Estimability analysis and multistep methodology

et al. 2014

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This study addresses kinetic parameter estimation for a high-density polyethylene (HDPE) slurry process based on fitting molecular weight distributions (MWDs). From the process model, we conduct an estimability analysis by assessing the relative sensitivity between output variables and kinetic parameters as well as confidence intervals. This determines which parameters can be estimated. Conversely, a major challenge remains with the solution of an ill-conditioned parameter estimation problem with MWD as the output variable. To overcome the convergence difficulties with the associated problem, we develop a novel multistep methodology where we first obtain MWD parameters by matching to data and then estimate kinetic parameters by matching to the regressed MWD parameters. Computational results and eigenvalue analysis show this multistep methodology separates an ill-conditioned problem into two well-conditioned subproblems. Moreover, we consider simulation-based and industrial HDPE case studies. These results demonstrate the applicability, potential, and efficiency of this solution procedure.The kinetic mechanism 24 of ethylene homopolymerization with Ziegler-Natta catalyst system is summarized in Table Figure 1. Flow sheet of HDPE slurry process in series.

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“…These methods can incorporate interim measurements while merging the slowest ones, which makes them suitable for autonomous navigation. Within this family of delay management techniques, one method always provides an optimal estimate even in presence of IM: the Filter Recalculation method (FR method) [13,14]. It can be applied also to non-linear systems without any loss of optimality at the expense of a high computational load.…”

Section: Introductionmentioning

confidence: 99%

Incorporating Delayed and Multirate Measurements in Navigation Filter for Autonomous Space Rendezvous

Comellini

Casu

Zenou

et al. 2020

Journal of Guidance, Control, and Dynamics

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On-line state and parameter estimation of EPDM polymerization reactors using a hierarchical extended Kalman filter

Cited by 31 publications

References 31 publications

Vision-based navigation for autonomous space rendezvous with non-cooperative targets

Vision-based navigation for autonomous space rendezvous with non-cooperative targets

Kinetic parameter estimation of HDPE slurry process from molecular weight distribution: Estimability analysis and multistep methodology

Incorporating Delayed and Multirate Measurements in Navigation Filter for Autonomous Space Rendezvous

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