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Application of multivariate virtual reference feedback tuning for wastewater treatment plant control

Rojas, Jose David; Flores, Xavier LU ; Jeppsson, Ulf LU and Vilanova, Ramon (2012) In Control Engineering Practice 20(5). p.499-510
Abstract
The objective of this paper is to apply the Virtual Reference Feedback Tuning (VRFT) to Multiple-Input Multiple-Output (MIMO) control strategies in wastewater treatment plants (WWTPs). Using the Benchmark Simulation Model No. 1 (BSM1) as a case study, the proposed data-driven approach provides reduced-order controllers only using a batch of input-output data points (i.e. manipulated variable-controlled variable), obtained from an open-loop experiment. The methodology also includes a pre-processing step that subtracts the impact of influent variability and sensor noise from the output signals. The possible interactions amongst different control loops are handled using a decoupling approach where each control signal is computed depending on... (More)
The objective of this paper is to apply the Virtual Reference Feedback Tuning (VRFT) to Multiple-Input Multiple-Output (MIMO) control strategies in wastewater treatment plants (WWTPs). Using the Benchmark Simulation Model No. 1 (BSM1) as a case study, the proposed data-driven approach provides reduced-order controllers only using a batch of input-output data points (i.e. manipulated variable-controlled variable), obtained from an open-loop experiment. The methodology also includes a pre-processing step that subtracts the impact of influent variability and sensor noise from the output signals. The possible interactions amongst different control loops are handled using a decoupling approach where each control signal is computed depending on the error signal of all the loops at the same time. In order to test the methodology, several control strategies are evaluated via simulation. The results show that substantial improvements in the plant performance can be obtained when controllers are implemented. (C) 2012 Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
BSM1, Control of WWTP, Data-driven control, MIMO control, Virtual, reference feedback tuning
in
Control Engineering Practice
volume
20
issue
5
pages
499 - 510
publisher
Elsevier
external identifiers
  • wos:000302431600003
  • scopus:84857640794
ISSN
0967-0661
DOI
10.1016/j.conengprac.2012.01.004
language
English
LU publication?
yes
id
47afcb69-ff7c-485b-8b5b-09113d466cb1 (old id 2570890)
date added to LUP
2012-06-04 09:45:33
date last changed
2017-10-29 03:12:38
@article{47afcb69-ff7c-485b-8b5b-09113d466cb1,
  abstract     = {The objective of this paper is to apply the Virtual Reference Feedback Tuning (VRFT) to Multiple-Input Multiple-Output (MIMO) control strategies in wastewater treatment plants (WWTPs). Using the Benchmark Simulation Model No. 1 (BSM1) as a case study, the proposed data-driven approach provides reduced-order controllers only using a batch of input-output data points (i.e. manipulated variable-controlled variable), obtained from an open-loop experiment. The methodology also includes a pre-processing step that subtracts the impact of influent variability and sensor noise from the output signals. The possible interactions amongst different control loops are handled using a decoupling approach where each control signal is computed depending on the error signal of all the loops at the same time. In order to test the methodology, several control strategies are evaluated via simulation. The results show that substantial improvements in the plant performance can be obtained when controllers are implemented. (C) 2012 Elsevier Ltd. All rights reserved.},
  author       = {Rojas, Jose David and Flores, Xavier and Jeppsson, Ulf and Vilanova, Ramon},
  issn         = {0967-0661},
  keyword      = {BSM1,Control of WWTP,Data-driven control,MIMO control,Virtual,reference feedback tuning},
  language     = {eng},
  number       = {5},
  pages        = {499--510},
  publisher    = {Elsevier},
  series       = {Control Engineering Practice},
  title        = {Application of multivariate virtual reference feedback tuning for wastewater treatment plant control},
  url          = {http://dx.doi.org/10.1016/j.conengprac.2012.01.004},
  volume       = {20},
  year         = {2012},
}