STATE ESTIMATION IN A BATCH SUSPENSION POLYMERIZATION REACTOR

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SHAHROKHI M.; FANAEI M.A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Polymer Journal Year:2001 | Volume:10 | Issue:3 Page(s): 173-187

Download Full-Text

View:

361

Download:

146

Cites:

Information Journal Paper

Title

STATE ESTIMATION IN A BATCH SUSPENSION POLYMERIZATION REACTOR

Author(s)

SHAHROKHI M. | FANAEI M.A. | Issue Writer Certificate

Keywords

EXTENDED KALMAN FILTER

STATE ESTIMATION

SUSPENSION POLYMERIZATION

DYNAMIC MODELING

BATCH REACTOR

Abstract

This paper concerns non-linear STATE ESTIMATION in a batch polymerization reactor where SUSPENSION POLYMERIZATION of methyl methacrylate takes place. A kinetic model proposed in bie literature is selected and its validity has been verified through an experimental set-up. Based on this model monomer conversion and average molecular weights of the polymer are estimated using only one output measurement (reactor temperature). The performance of the estimator, which has the structure of an EXTENDED KALMAN FILTER, is examined through simulation and experimental studies in the presence of different levels of parameter uncertainties. The effects of adding "fictitious noise" and parameter state" to the estimation algorithm are also investigated. To find the best fictitious state, the main parameters of polymerization model are divided into three groups. The parametric study of the MMA polymerization model indicates that, when the source of parameter uncertainty is unknown, the best selection of parameter state is the initial mass of monomer.

Cites

No record.

References

No record.

Cite

APA: Copy

SHAHROKHI, M., & FANAEI, M.A.. (2001). STATE ESTIMATION IN A BATCH SUSPENSION POLYMERIZATION REACTOR. IRANIAN POLYMER JOURNAL (ENGLISH), 10(3), 173-187. SID. https://sid.ir/paper/530693/en

Vancouver: Copy

SHAHROKHI M., FANAEI M.A.. STATE ESTIMATION IN A BATCH SUSPENSION POLYMERIZATION REACTOR. IRANIAN POLYMER JOURNAL (ENGLISH)[Internet]. 2001;10(3):173-187. Available from: https://sid.ir/paper/530693/en

IEEE: Copy

M. SHAHROKHI, and M.A. FANAEI, “STATE ESTIMATION IN A BATCH SUSPENSION POLYMERIZATION REACTOR,” IRANIAN POLYMER JOURNAL (ENGLISH), vol. 10, no. 3, pp. 173–187, 2001, [Online]. Available: https://sid.ir/paper/530693/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops