Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP. (September 2021)
- Record Type:
- Journal Article
- Title:
- Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP. (September 2021)
- Main Title:
- Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP
- Authors:
- Piotrowski, Robert
Sawicki, Hubert
Żuk, Konrad - Abstract:
- Abstract: Wastewater treatment is a problem known to humankind for centuries. The quality of treated sewage determines the condition of reservoirs around the world. Control of such a complex and nonlinear system as a wastewater treatment plant requires thorough knowledge of the process. The paper presents a hierarchical control system of a Sequencing Batch Reactor (SBR) in Wastewater Treatment Plant (WWTP) taking into account a model based on actual measurements taken from a WWTP in Swarzewo, Poland. The authors designed and implemented a nonlinear model predictive controller (MPC) that allows for the optimal implementation of the desired DO level while minimising the operation of actuators (aeration system). The design description of the predictive controller was associated with the need to specify the performance function and define the optimisation problem. In a two-layer structure, a supervisory controller was implemented based on an actual time-based controller in Swarzewo WWTP. The overview showed the improved performance of the treatment plant and the versatility of the created solution. Results of simulation tests for the wastewater treatment plant case study are presented. Highlights: Dissolved oxygen control is very important for WWTP energy efficiency. The process of designing a hierarchical control system of a SBR has been presented. Nonlinear MPC has been applied for optimal implementation of the set DO trajectory. Results of simulation tests for WWTP case studyAbstract: Wastewater treatment is a problem known to humankind for centuries. The quality of treated sewage determines the condition of reservoirs around the world. Control of such a complex and nonlinear system as a wastewater treatment plant requires thorough knowledge of the process. The paper presents a hierarchical control system of a Sequencing Batch Reactor (SBR) in Wastewater Treatment Plant (WWTP) taking into account a model based on actual measurements taken from a WWTP in Swarzewo, Poland. The authors designed and implemented a nonlinear model predictive controller (MPC) that allows for the optimal implementation of the desired DO level while minimising the operation of actuators (aeration system). The design description of the predictive controller was associated with the need to specify the performance function and define the optimisation problem. In a two-layer structure, a supervisory controller was implemented based on an actual time-based controller in Swarzewo WWTP. The overview showed the improved performance of the treatment plant and the versatility of the created solution. Results of simulation tests for the wastewater treatment plant case study are presented. Highlights: Dissolved oxygen control is very important for WWTP energy efficiency. The process of designing a hierarchical control system of a SBR has been presented. Nonlinear MPC has been applied for optimal implementation of the set DO trajectory. Results of simulation tests for WWTP case study have been presented. … (more)
- Is Part Of:
- Journal of process control. Volume 105(2021)
- Journal:
- Journal of process control
- Issue:
- Volume 105(2021)
- Issue Display:
- Volume 105, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 105
- Issue:
- 2021
- Issue Sort Value:
- 2021-0105-2021-0000
- Page Start:
- 78
- Page End:
- 87
- Publication Date:
- 2021-09
- Subjects:
- Dissolved oxygen -- Model predictive control -- Nonlinear control -- Optimal control -- Wastewater treatment plant -- SBR
Process control -- Periodicals
Fabrication -- Contrôle -- Périodiques
Process control
Periodicals
Electronic journals
660.281 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09591524 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jprocont.2021.07.009 ↗
- Languages:
- English
- ISSNs:
- 0959-1524
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5042.645000
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