Adaptive control of distillation column using adaptive critic design

Petia Koprinkova-Hristova, Yancho Todorov, Nicolae Paraschiv, Marius Olteanu, Margarita Terziyska

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

Abstract

The paper aims at synthesis of an adaptive controller of the distillate output flow rate of a binary distillation column. The disturbance of the process is the change of concentration of the inlet compound. The Adaptive Critic Design (ACD) approach was applied to predict on time the future effect of disturbance and to adapt the distillate output flow rate in order to prevent deviations from the desired distillate concentration. The key element of ACD-The critic-is a fast trainable recurrent neural network named Echo state network (ESN). The simulation investigations demonstrated that the proposed adaptive control scheme outperforms a classical non-adaptive controller with respect to the settling time and the reaction delay.

Original languageEnglish
Title of host publicationProceedings of the 2017 21st International Conference on Process Control, PC 2017
EditorsM. Kvasnica, M. Fikar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages434-439
Number of pages6
ISBN (Electronic)978-1-5386-4011-1
DOIs
Publication statusPublished - 11 Jul 2017
MoE publication typeA4 Article in a conference publication
Event21st International Conference on Process Control, PC 2017 - Strbske Pleso, Slovakia
Duration: 6 Jun 20179 Jun 2017

Conference

Conference21st International Conference on Process Control, PC 2017
CountrySlovakia
CityStrbske Pleso
Period6/06/179/06/17

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Keywords

  • adaptive control
  • Adaptive Critic Design
  • binary distillation column
  • Echo state network

Cite this

Koprinkova-Hristova, P., Todorov, Y., Paraschiv, N., Olteanu, M., & Terziyska, M. (2017). Adaptive control of distillation column using adaptive critic design. In M. Kvasnica, & M. Fikar (Eds.), Proceedings of the 2017 21st International Conference on Process Control, PC 2017 (pp. 434-439). [7976253] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PC.2017.7976253