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Boundary-Based Predictive Controller and Its Application to Control of Dissolved Oxygen Concentration in Activated Sludge Bioreactor

Research output: Contribution to journal › Article › peer-review

30 Citations (Scopus)

Abstract

This article presents the concept of boundary-based predictive controller (BBPC) as an effective tool to control industrial processes with on-off actuator, for which the control goal is defined to keep the process output within the desired range. An example use of BBPC is shown in application to control of dissolved oxygen (DO) concentration in the laboratory activated sludge setup with biological reactor. It is suggested how to identify dynamical parameters of the proposed DO concentration model and how to provide adaptability required to ensure desired control performance in the presence of significant changes of process load disturbance. Practical implementation in programmable logic controller in the form of a general purpose library function block is also presented. Experimental comparison with conventional on-off controller shows robustness and superiority of the proposed BBPC.

Original languageEnglish
Pages (from-to)10541-10551
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume69
Issue number10
DOIs
Publication statusPublished - 1 Oct 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • Adaptive control
  • control of dissolved oxygen (DO)
  • model-based predictive control
  • practical validation
  • programmable logic controller (PLC)-based implementation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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