Volterra model predictive control of a lyophilization plant

Yancho V. Todorov, Tsvetan D. Tsvetkov

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

8 Citations (Scopus)

Abstract

Lyophilization plants are widely used by pharmaceutical industries to produce stable dried medications and important preparations. Since, a Lyophilization cycle involves a high energy demands it is needed to be used an improved control strategy in order to minimize the operating costs. This paper describes a method for designing a nonlinear model predictive controller to be used in a Lyophilization plant. The controller is based on a truncated fuzzy-neural Volterra predictive model and a simplified gradient optimization algorithm. The proposed approach is studied to control the product temperature in a Lyophilization plant. The efficiency of the proposed approach is tested and proved by simulation experiments.

Original languageEnglish
Title of host publication2008 4th International IEEE Conference Intelligent Systems, IS 2008
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages2013-2018
Volume2
ISBN (Electronic)978-1-4244-1740-7
ISBN (Print)978-1-4244-1739-1
DOIs
Publication statusPublished - 1 Dec 2008
MoE publication typeA4 Article in a conference publication
Event2008 4th International IEEE Conference Intelligent Systems, IS 2008 - Varna, Bulgaria
Duration: 6 Sep 20088 Sep 2008

Conference

Conference2008 4th International IEEE Conference Intelligent Systems, IS 2008
CountryBulgaria
CityVarna
Period6/09/088/09/08

Fingerprint

Model predictive control
Controllers
Operating costs
Drug products
Industry
Experiments
Temperature

Keywords

  • Fuzzy-neural modeling
  • Lyophilization
  • Model predictive control

Cite this

Todorov, Y. V., & Tsvetkov, T. D. (2008). Volterra model predictive control of a lyophilization plant. In 2008 4th International IEEE Conference Intelligent Systems, IS 2008 (Vol. 2, pp. 2013-2018). [4670467] Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/IS.2008.4670467
Todorov, Yancho V. ; Tsvetkov, Tsvetan D. / Volterra model predictive control of a lyophilization plant. 2008 4th International IEEE Conference Intelligent Systems, IS 2008. Vol. 2 Institute of Electrical and Electronic Engineers IEEE, 2008. pp. 2013-2018
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Todorov, YV & Tsvetkov, TD 2008, Volterra model predictive control of a lyophilization plant. in 2008 4th International IEEE Conference Intelligent Systems, IS 2008. vol. 2, 4670467, Institute of Electrical and Electronic Engineers IEEE, pp. 2013-2018, 2008 4th International IEEE Conference Intelligent Systems, IS 2008, Varna, Bulgaria, 6/09/08. https://doi.org/10.1109/IS.2008.4670467

Volterra model predictive control of a lyophilization plant. / Todorov, Yancho V.; Tsvetkov, Tsvetan D.

2008 4th International IEEE Conference Intelligent Systems, IS 2008. Vol. 2 Institute of Electrical and Electronic Engineers IEEE, 2008. p. 2013-2018 4670467.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - Lyophilization plants are widely used by pharmaceutical industries to produce stable dried medications and important preparations. Since, a Lyophilization cycle involves a high energy demands it is needed to be used an improved control strategy in order to minimize the operating costs. This paper describes a method for designing a nonlinear model predictive controller to be used in a Lyophilization plant. The controller is based on a truncated fuzzy-neural Volterra predictive model and a simplified gradient optimization algorithm. The proposed approach is studied to control the product temperature in a Lyophilization plant. The efficiency of the proposed approach is tested and proved by simulation experiments.

AB - Lyophilization plants are widely used by pharmaceutical industries to produce stable dried medications and important preparations. Since, a Lyophilization cycle involves a high energy demands it is needed to be used an improved control strategy in order to minimize the operating costs. This paper describes a method for designing a nonlinear model predictive controller to be used in a Lyophilization plant. The controller is based on a truncated fuzzy-neural Volterra predictive model and a simplified gradient optimization algorithm. The proposed approach is studied to control the product temperature in a Lyophilization plant. The efficiency of the proposed approach is tested and proved by simulation experiments.

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Todorov YV, Tsvetkov TD. Volterra model predictive control of a lyophilization plant. In 2008 4th International IEEE Conference Intelligent Systems, IS 2008. Vol. 2. Institute of Electrical and Electronic Engineers IEEE. 2008. p. 2013-2018. 4670467 https://doi.org/10.1109/IS.2008.4670467