Adaptive Control of Distillation Column using Adaptive Critic Design

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

Researchers

  • Petia Koprinkova-Hristova
  • Yancho Todorov
  • Marius Olteanu
  • Nikolae Paraschiv
  • Margarita Terziyska

Research units

  • Bulgarian Academy of Sciences
  • University of Food Technologies-Plovdiv
  • PETROLEUM-GAS UNIVERSITY OF PLOIEŞTI

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. Intelligent approach called Adaptive Critic Design (ACD) was applied to predict on time the 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 called 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.

Details

Original languageEnglish
Title of host publicationProceedings of the 2017 21st International Conference on Process Control
Publication statusPublished - 17 Jul 2017
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Process Control - Štrbské Pleso, Slovakia
Duration: 6 Jun 20179 Jun 2017
Conference number: 21
http://www.kirp.chtf.stuba.sk/pc17/

Conference

ConferenceInternational Conference on Process Control
CountrySlovakia
CityŠtrbské Pleso
Period06/06/201709/06/2017
Internet address

    Research areas

  • Process control, intelligent systems

ID: 12973514