Data-driven adaptive model-based predictive control with application in wastewater systems

N.A. Wahab, M.R. Katebi, J. Balderud, M.F. Rahmat

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based optimisation strategy to formulate the control algorithm and incorporate the input constraints. Both direct adaptive model-based predictive controller (DAMBPC) and indirect adaptive model-based predictive controller (IAMBPC) are considered. In DAMBPC, the direct identification of controller parameters is desired to reduce the design effort and computational load while the IAMBPC involves a two-stage process of model identification and controller design. The former method only requires a single QR decomposition for obtaining the controller parameters and uses a receding horizon approach to process input/output data for the identification. A suboptimal SVD-based optimisation technique is proposed to incorporate the input constraints. The proposed techniques are implemented and tested on a fourth order non-linear model of a wastewater system. Simulation results are presented to compare the direct and indirect adaptive methods and to demonstrate the performance of the proposed algorithms.
LanguageEnglish
Pages803-812
Number of pages10
JournalIET Control Theory and Applications
Volume5
Issue number6
DOIs
Publication statusPublished - 14 Apr 2011

Fingerprint

Waste Water
Model-based Control
Predictive Control
Data-driven
Wastewater
Controller
Controllers
Input Constraints
Model-based
Singular value decomposition
Identification (control systems)
Subspace Identification
QR Decomposition
Model Identification
Adaptive Method
Controller Design
Optimization Techniques
Control Algorithm
Nonlinear Model
Fourth Order

Keywords

  • adaptive system
  • predictive control
  • wastewater systems
  • control systems
  • adaptive control
  • wastewater
  • singular value decomposition
  • optimisation
  • control system synthesis

Cite this

Wahab, N.A. ; Katebi, M.R. ; Balderud, J. ; Rahmat, M.F. . / Data-driven adaptive model-based predictive control with application in wastewater systems. In: IET Control Theory and Applications . 2011 ; Vol. 5, No. 6. pp. 803-812.
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Data-driven adaptive model-based predictive control with application in wastewater systems. / Wahab, N.A. ; Katebi, M.R.; Balderud, J. ; Rahmat, M.F. .

In: IET Control Theory and Applications , Vol. 5, No. 6, 14.04.2011, p. 803-812.

Research output: Contribution to journalArticle

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