Modeling, Identification and Control (Apr 2023)

Subspace System Identification of a Pilot Tunnel System of a Combined Sewage System

  • Yongjie Wang,
  • Finn Haugen

DOI
https://doi.org/10.4173/mic.2023.2.3
Journal volume & issue
Vol. 44, no. 2
pp. 69 – 82

Abstract

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This paper presents an investigation into the potential use of subspace identification methods (SIMs) for model-based control of urban drainage systems (UDS) that play a crucial role in collecting and transporting stormwater runoff and domestic sewage to Water Resource Recovery Facilities (WRRF) in urban areas. To evaluate the feasibility of level control using model-based algorithms in UDS, a pilot tunnel system was constructed. Three linear state-space models were identified using the system identification toolbox in MATLAB and an open-source module in Python named SIPPY. The study finds that the identified models can predict the system output with acceptable accuracy thus for model-based control of the system. The findings of this study aim to contribute to the development of more efficient and effective control strategies for UDS.

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