Adaptive control of distillation column using adaptive critic design

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

doi:10.1109/PC.2017.7976253

Adaptive control of distillation column using adaptive critic design

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

Not published at VTT

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

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 language	English
Title of host publication	Proceedings of the 2017 21st International Conference on Process Control, PC 2017
Editors	M. Kvasnica, M. Fikar
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	434-439
ISBN (Electronic)	978-1-5386-4011-1
DOIs	https://doi.org/10.1109/PC.2017.7976253
Publication status	Published - 11 Jul 2017
MoE publication type	A4 Article in a conference publication
Event	21st International Conference on Process Control, PC 2017 - Strbske Pleso, Slovakia Duration: 6 Jun 2017 → 9 Jun 2017

Conference

Conference	21st International Conference on Process Control, PC 2017
Country/Territory	Slovakia
City	Strbske Pleso
Period	6/06/17 → 9/06/17

Keywords

adaptive control
Adaptive Critic Design
binary distillation column
Echo state network

Access to Document

10.1109/PC.2017.7976253

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). Article 7976253 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/PC.2017.7976253

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title = "Adaptive control of distillation column using adaptive critic design",

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.",

keywords = "adaptive control, Adaptive Critic Design, binary distillation column, Echo state network",

author = "Petia Koprinkova-Hristova and Yancho Todorov and Nicolae Paraschiv and Marius Olteanu and Margarita Terziyska",

note = "This work is partially supported by the bilateral project {"}Application of computational intelligence methods to industrial plants control{"} between IICT at Bulgarian Academy of Sciences and Petroleum-Gas University via Romanian Academy of Sciences.; 21st International Conference on Process Control, PC 2017 ; Conference date: 06-06-2017 Through 09-06-2017",

year = "2017",

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doi = "10.1109/PC.2017.7976253",

language = "English",

pages = "434--439",

editor = "M. Kvasnica and M. Fikar",

booktitle = "Proceedings of the 2017 21st International Conference on Process Control, PC 2017",

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}

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., 7976253, IEEE Institute of Electrical and Electronic Engineers, pp. 434-439, 21st International Conference on Process Control, PC 2017, Strbske Pleso, Slovakia, 6/06/17. https://doi.org/10.1109/PC.2017.7976253

Adaptive control of distillation column using adaptive critic design. / Koprinkova-Hristova, Petia; Todorov, Yancho; Paraschiv, Nicolae et al.
Proceedings of the 2017 21st International Conference on Process Control, PC 2017. ed. / M. Kvasnica; M. Fikar. IEEE Institute of Electrical and Electronic Engineers, 2017. p. 434-439 7976253.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Adaptive control of distillation column using adaptive critic design

AU - Koprinkova-Hristova, Petia

AU - Todorov, Yancho

AU - Paraschiv, Nicolae

AU - Olteanu, Marius

AU - Terziyska, Margarita

N1 - This work is partially supported by the bilateral project "Application of computational intelligence methods to industrial plants control" between IICT at Bulgarian Academy of Sciences and Petroleum-Gas University via Romanian Academy of Sciences.

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N2 - 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.

AB - 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.

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Adaptive control of distillation column using adaptive critic design

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