This page has only limited features, please log in for full access.

Prof. Robert Piotrowski
Gdańsk University of Technology, Faculty of Electrical and Control Engineering

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 Aeration
0 Industrial Applications
0 Modelling
0 Optimization
0 SBR

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Review article
Published: 29 July 2021 in Journal of Process Control
Reads 0
Downloads 0

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.

ACS Style

Robert Piotrowski; Hubert Sawicki; Konrad Żuk. Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP. Journal of Process Control 2021, 105, 78 -87.

AMA Style

Robert Piotrowski, Hubert Sawicki, Konrad Żuk. Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP. Journal of Process Control. 2021; 105 ():78-87.

Chicago/Turabian Style

Robert Piotrowski; Hubert Sawicki; Konrad Żuk. 2021. "Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP." Journal of Process Control 105, no. : 78-87.

Journal article
Published: 14 July 2020 in Energies
Reads 0
Downloads 0

The paper presents the complete design processes of novel aeration control systems in the SBR (sequencing batch reactor) wastewater treatment plant (WWTP). Due to large energy expense and a high influence on biological processes, the aeration system plays a key role in WWTP operation. The paper considers the aeration system for a biological WWTP located in the northeast of Poland. This system consists of blowers, the main collector pipeline, three aeration lines with different diameters and lengths, and diffusers. Classical control systems applied for this type of installation are based on PID (proportional–integral–derivative) controllers, the settings of which are often found experimentally. The article presents the optimization of these settings and the design of an alternative control algorithm—the fuzzy controller.

ACS Style

Robert Piotrowski; Tomasz Ujazdowski. Designing Control Strategies of Aeration System in Biological WWTP. Energies 2020, 13, 3619 .

AMA Style

Robert Piotrowski, Tomasz Ujazdowski. Designing Control Strategies of Aeration System in Biological WWTP. Energies. 2020; 13 (14):3619.

Chicago/Turabian Style

Robert Piotrowski; Tomasz Ujazdowski. 2020. "Designing Control Strategies of Aeration System in Biological WWTP." Energies 13, no. 14: 3619.

Research articles
Published: 20 April 2020 in Urban Water Journal
Reads 0
Downloads 0

The paper proposes the design of the supervisory heuristic fuzzy control system applied to a Sequencing Batch Reactor (SBR) in the Wastewater Treatment Plant (WWTP). Based on real data records and the biological process and aeration system models, a control system for biological processes has been designed. The supervisory control system performs management of the reactor work cycle, determines the phase length, controls the sludge age, calculates the setpoint of dissolved oxygen, and adapts parameters of the lower control layer. The results of simulation tests for the case study wastewater treatment plant are presented.

ACS Style

Robert Piotrowski. Supervisory fuzzy control system for biological processes in sequencing wastewater batch reactor. Urban Water Journal 2020, 17, 325 -332.

AMA Style

Robert Piotrowski. Supervisory fuzzy control system for biological processes in sequencing wastewater batch reactor. Urban Water Journal. 2020; 17 (4):325-332.

Chicago/Turabian Style

Robert Piotrowski. 2020. "Supervisory fuzzy control system for biological processes in sequencing wastewater batch reactor." Urban Water Journal 17, no. 4: 325-332.

Journal article
Published: 22 October 2019 in Journal of Process Control
Reads 0
Downloads 0

Wastewater treatment plays a key role for humanity. The waste entering lakes, rivers, and seas deteriorates daily quality of life. Therefore, it is very important to improve the efficiency of wastewater treatment. From a control point of view, a biological wastewater treatment plant is a complex, non-linear, multidimensional, hybrid control system. The paper presents the design of the optimizing hierarchical control system applied to a Sequencing Batch Reactor (SBR) in a biological Wastewater Treatment Plant (WWTP). Based on real data records, the ASM2d model of biological processes and the aeration system model are applied. The two-layer hierarchical control structure described in previous works has been extended by an additional optimization layer, used to determine the optimal operating parameters of the SBR reactor (sequence and durations of individual phases), the optimal desired trajectory of dissolved oxygen, and the optimal parameters of the adaptive controller operating in the upper control layer. A large number of different deterministic and non-deterministic optimization algorithms were tested. Finally, the Artificial Bee Colony (ABC) algorithm and the Direct Search Algorithm (DSA) were applied. In the proposed control structure, the lower control layer is the Internal Model Control (IMC) based airflow controller. Results of simulation tests for the wastewater treatment plant case study are presented. As an optimization result, the process operations have become more efficient and the electrical energy consumption has been reduced.

ACS Style

Robert Piotrowski; Mateusz Lewandowski; Aleksander Paul. Mixed Integer nonlinear optimization of biological processes in wastewater sequencing batch reactor. Journal of Process Control 2019, 84, 89 -100.

AMA Style

Robert Piotrowski, Mateusz Lewandowski, Aleksander Paul. Mixed Integer nonlinear optimization of biological processes in wastewater sequencing batch reactor. Journal of Process Control. 2019; 84 ():89-100.

Chicago/Turabian Style

Robert Piotrowski; Mateusz Lewandowski; Aleksander Paul. 2019. "Mixed Integer nonlinear optimization of biological processes in wastewater sequencing batch reactor." Journal of Process Control 84, no. : 89-100.

Journal article
Published: 31 May 2019 in Applied Sciences
Reads 0
Downloads 0

Authors of this paper take under investigation the optimization of biological processes during the wastewater treatment in sequencing batch reactor (SBR) plant. A designed optimizing supervisory controller generates the dissolved oxygen (DO) trajectory for the lower level parts of the hierarchical control system. Proper adjustment of this element has an essential impact on the efficiency of the wastewater treatment process as well as on the costs generated by the plant, especially by the aeration system. The main goal of the presented solution is to reduce the plant energy consumption and to maintain the quality of effluent in compliance with the water-law permit. Since the optimization is nonlinear and includes variations of different types of variables, to solve the given problem the authors performed simulation tests and decided to implement a hybrid of two different optimization algorithms: artificial bee colony (ABC) and direct search algorithm (DSA). Simulation tests for the wastewater treatment plant case study are presented.

ACS Style

Robert Piotrowski; Aleksander Paul; Mateusz Lewandowski; Paul. Improving SBR Performance Alongside with Cost Reduction through Optimizing Biological Processes and Dissolved Oxygen Concentration Trajectory. Applied Sciences 2019, 9, 2268 .

AMA Style

Robert Piotrowski, Aleksander Paul, Mateusz Lewandowski, Paul. Improving SBR Performance Alongside with Cost Reduction through Optimizing Biological Processes and Dissolved Oxygen Concentration Trajectory. Applied Sciences. 2019; 9 (11):2268.

Chicago/Turabian Style

Robert Piotrowski; Aleksander Paul; Mateusz Lewandowski; Paul. 2019. "Improving SBR Performance Alongside with Cost Reduction through Optimizing Biological Processes and Dissolved Oxygen Concentration Trajectory." Applied Sciences 9, no. 11: 2268.

Journal article
Published: 10 June 2016 in Studies in Informatics and Control
Reads 0
Downloads 0
ACS Style

Piotr Hirsch; R. Piotrowski; Kazimierz Duzinkiewicz; Michał Grochowski. Supervisory Control System for Adaptive Phase and Work Cycle Management of Sequencing Wastewater Treatment Plant. Studies in Informatics and Control 2016, 25, 1 .

AMA Style

Piotr Hirsch, R. Piotrowski, Kazimierz Duzinkiewicz, Michał Grochowski. Supervisory Control System for Adaptive Phase and Work Cycle Management of Sequencing Wastewater Treatment Plant. Studies in Informatics and Control. 2016; 25 (2):1.

Chicago/Turabian Style

Piotr Hirsch; R. Piotrowski; Kazimierz Duzinkiewicz; Michał Grochowski. 2016. "Supervisory Control System for Adaptive Phase and Work Cycle Management of Sequencing Wastewater Treatment Plant." Studies in Informatics and Control 25, no. 2: 1.