Application of multivariate virtual reference feedback tuning for wastewater treatment plant control
(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:
https://lup.lub.lu.se/record/2570890
- author
- Rojas, Jose David ; Flores, Xavier LU ; Jeppsson, Ulf LU and Vilanova, Ramon
- organization
- publishing date
- 2012
- 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
- 2016-04-01 10:32:01
- date last changed
- 2022-01-26 00:11:14
@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}}, keywords = {{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}}, doi = {{10.1016/j.conengprac.2012.01.004}}, volume = {{20}}, year = {{2012}}, }