Online optimal estimation and control for a common class of activated sludge plants

Research output: Contribution to journalConference articleScientificpeer-review

50 Downloads (Pure)

Abstract

In this work, we design an output predictive controller that operates a common class of activated sludge plants. The controller solves a state-feedback model predictive control problem in which the process state and disturbances are determined by a moving horizon estimator. We illustrate the behaviour of the controller when operating the plant to produce an effluent water of varying nitrogen content. The close tracking of the effluent profiles is enforced by stabilizing the system around optimal steady-state points that satisfy the output reference trajectories. Considering the generality of the formulation, the predictive controller can be configured to operate this class of activated sludge plants to achieve alternative objectives.

Original languageEnglish
Pages (from-to)447-452
Number of pages6
JournalIFAC-PapersOnLine
Volume55
Issue number7
DOIs
Publication statusPublished - 5 Aug 2022
MoE publication typeA4 Conference publication
EventIFAC Symposium on Dynamics and Control of Process Systems, including Biosystems - Busan, Korea, Republic of
Duration: 14 Jun 202217 Jun 2022
Conference number: 13

Keywords

  • activated sludge process
  • Model predictive control
  • moving horizon estimation

Fingerprint

Dive into the research topics of 'Online optimal estimation and control for a common class of activated sludge plants'. Together they form a unique fingerprint.

Cite this