Application of multivariate virtual reference feedback tuning for wastewater treatment plant control
作者： José David Rojas , Xavier Flores-Alsina , Ulf Jeppsson , Ramón Vilanova
DOI: 10.1016/J.CONENGPRAC.2012.01.004
关键词:
摘要: The objective of this paper is to apply the Virtual Reference Feedback Tuning (VRFT) Multiple-Input Multiple-Output (MIMO) control strategies in wastewater treatment plants (WWTPs). Using Benchmark Simulation Model No. 1 (BSM1) as a case study, proposed data-driven approach provides reduced-order controllers only using batch input-output data points (i.e. manipulated variable-controlled variable), obtained from an open-loop experiment. methodology also includes pre-processing step that subtracts impact influent variability and sensor noise output signals. possible interactions amongst different loops are handled decoupling where each signal computed depending on error all at same time. In order test methodology, several evaluated via simulation. results show substantial improvements plant performance can be when implemented. (C) 2012 Elsevier Ltd. All rights reserved. (Less)
elsevier.com
sci-hub.se 参考文章(37)
L. Rieger, M. Thomann, A. Joss, W. Gujer, H. Siegrist, Computer-aided monitoring and operation of continuous measuring devices. Water Science and Technology. ,vol. 50, pp. 31- 39 ,(2004) , 10.2166/WST.2004.0668
G. O. Guardabassi, S. M. Savaresi, Data-based simultaneous design of composite feedback-feedforward controllers: A virtual input direct design approach european control conference. pp. 382- 387 ,(1997) , 10.23919/ECC.1997.7082124
Gustaf Olsson, Water and Wastewater Treatment, Automation Encyclopedia of Industrial Biotechnology. pp. 1- 25 ,(2010) , 10.1002/9780470054581.EIB586
D. Vrečko, N. Hvala, B. Carlsson, Feedforward-feedback control of an activated sludge process: a simulation study Water Science and Technology. ,vol. 47, pp. 19- 26 ,(2003) , 10.2166/WST.2003.0623
I. Nopens, L. Benedetti, U. Jeppsson, M.-N. Pons, J. Alex, J. B. Copp, K. V. Gernaey, C. Rosen, J.-P. Steyer, P. A. Vanrolleghem, Benchmark Simulation Model No 2 – Finalisation of plant layout and default control strategy Water Science and Technology. ,vol. 62, pp. 1967- 1974 ,(2010) , 10.2166/WST.2010.044
Imre Takács, Gilles G Patry, Daniel Nolasco, A dynamic model of the clarification-thickening process Water Research. ,vol. 25, pp. 1263- 1271 ,(1991) , 10.1016/0043-1354(91)90066-Y
Ma Yong, Peng Yongzhen, Wang Shuying, Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system Bioprocess and Biosystems Engineering. ,vol. 27, pp. 223- 228 ,(2005) , 10.1007/S00449-004-0390-0
Wenhao Shen, Xiaoquan Chen, Jean Pierre Corriou, Application of model predictive control to the BSM1 benchmark of wastewater treatment process Computers & Chemical Engineering. ,vol. 32, pp. 2849- 2856 ,(2008) , 10.1016/J.COMPCHEMENG.2008.01.009
F Previdi, F Fico, D Belloli, S M Savaresi, I Pesenti, C Spelta, Virtual Reference Feedback Tuning (VRFT) of velocity controller in self-balancing industrial manual manipulators american control conference. pp. 1956- 1961 ,(2010) , 10.1109/ACC.2010.5531358
X. Flores, J. Comas, I.R. Roda, L. Jiménez, K.V. Gernaey, Application of multivariable statistical techniques in plant-wide WWTP control strategies analysis Water Science and Technology. ,vol. 56, pp. 75- 83 ,(2007) , 10.2166/WST.2007.586