Analysis the Parameters of the Adaptive Controller for Quality Control of Dissolved Oxygen Concentration

Piotrowski, Robert; Blaszkiewicz, Karol; Duzinkiewicz, Kazimierz

doi:10.5755/j01.itc.45.1.9246

Cited by 15 publications

(9 citation statements)

References 13 publications

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“…In summary, the aim of this paper is to design the supervisory control system for adaptive phase and work cycle management of SBR, in wide operating range. This paper further develops the research works presented in [4,9,13]. The ASM2d model, presented by International Water Association task group [8], was used to simulate the plant.…”

Section: Problem Statement and Main Contributionmentioning

confidence: 84%

“…Broad range of control technologies have been researched and applied to DO control, e.g. adaptive controller [4,9,13], predictive controller [5,7,11,12,18], multivariable PID controller [19], fuzzy controller [3,14], fuzzy predictive controller [15,20]. Extensive review of DO control can be found in [1].…”

Section: Survey Of Related Workmentioning

confidence: 99%

“…In [4] Direct Model Reference Adaptive Control (DMRAC) technology for DO tracking in Swarzewo case study was presented. Furthermore, analysis of the parameters of the adaptive controller for control quality was examined [13]. The authors used calibrated SBR Activated Sludge Model No.…”

Section: Survey Of Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Supervisory Control System for Adaptive Phase and Work Cycle Management of Sequencing Wastewater Treatment Plant

Hirsch¹,

Piotrowski²,

Duzinkiewicz³

2016

SIC

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The paper presents the design of the integrated control system applied to Sequencing Batch Reactor (SBR) in a biological Wastewater Treatment Plant (WWTP) in Swarzewo, which operates under activated sludge technology. Based on the real data records, ASM2d biological processes model and aeration system model, hierarchical control system for dissolved oxygen tracking and cycle management is designed. Internal Model Controller (IMC) was applied to control the air flow at the lower control level. Higher level dissolved oxygen controller is based on Direct Model Reference Adaptive Control (DMRAC) method. The supervisory system performs management of reactor work cycle, determines the phase length, controls sludge age, calculates setpoint of dissolved oxygen and adapts parameters of the lower control layer. Proposed control system allowed to: increase the efficiency, improve the quality of outflow and reduce the cost of aeration and chemical treatment plant, in relation to existing solutions in case study plant.

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Section: Problem Statement and Main Contributionmentioning

confidence: 84%

Section: Survey Of Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Supervisory Control System for Adaptive Phase and Work Cycle Management of Sequencing Wastewater Treatment Plant

Hirsch¹,

Piotrowski²,

Duzinkiewicz³

2016

SIC

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“…From the hydrodynamic point of view, the TPF mixtures identification is focused on evaluations of flow patterns, flow resistance and void fraction of the mix- Table 1 Examples of TFP applications in the industry industry / phenomena application description aeration systems sewage aeration biological sewage treatment plants [16,46] aerobic bacteria injection of free oxygen to ensure the bacteria growth [112] bio-and petrochemical processes bubbles columns in physical and chemical processes identification of bubbles to study mass transfer in chemical reactions [30,101], evaluation of air-bubbles plumes existence [2] air-lift columns intensity of the process depends on the bubbles size [5,71,19] control of the gas stream to force the liquid movement [12,20] ejectors flotation processes in the extractive industry [166] sedimentation processes to precipitate some fractions of the liquid [93], chemical reactors electrolysis the intensity of the process identified from the gas phase [109,81], evaluated size of the gas bubbles indicates the process quality heating devices heat exchange gas existence is undesirable and denotes the boiling liquid [139] cavitation rotational pump detection of this phenomena warns of pump's blades erosion or leakage [85,169] ture [34,125,26] . Additionally, to describe the mass transfer it is required to determine other flow parameters like mass transfer coefficient, gas bubbles coalescence and finally the interfacial surface area.…”

Section: Introductionmentioning

confidence: 99%

Computer methods for non-invasive measurement and control of two-phase flows: a review study

Wajman

2019

ITC

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Nowadays, the application of advanced technologies in modern production systems is the main trend of development and technological progress in many industrial sectors. It is due to the still growing trends of energy-saving and production quality enhancement. Wherever in the production process the phase mixture is transported and it is not optimal or not economic, there is a need to develop a system which would be able to prevent any construction disaster, unexpected production line stopping or situation where for reasons of bad flow parameters, the final product is defective. This paper studies various sensors, measurement techniques and computer methods for signal processing and analysis to diagnose and control two-phase flows. Due to the possibility that the invasive measurement disturbs the process and changes it parameters and behavior especially in the location just after the measurement point and simultaneously does not provide any information about these changes it is unreliable for the diagnosis or control. Therefore, the non-invasive techniques commonly used for measurement of flows parameters are described. Depending on the industrial demands many of applications examples for non-invasive two-phase flows measurement and monitoring are given. This description for identifying the flow parameters is divided into features categories of this phenomena as void fraction distribution, velocity profile and flow regime. However, from these methods the high accuracy and short processing time is expected. The continued observation and monitoring of the process abnormalities can provide valuable information about its dynamic state and allow for real-time and automatic monitoring and control. Therefore, the development of advanced process control is one of the most important challenges to keep the flow regime on the given level and for instant and long-term energy saving, quality improvement.

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“…The costs of implementing effective control and optimization algorithms in a WWTP are much lower than its modernization.Previous studies reported various structures and technologies of the DO control system. The cascade nonlinear adaptive control system, extended by the anti-windup filter, was applied [3]. Furthermore, the parameter analysis of the adaptive controller used for quality control was performed.…”

mentioning

confidence: 99%

Improving SBR Performance Alongside with Cost Reduction through Optimizing Biological Processes and Dissolved Oxygen Concentration Trajectory

2019

Self Cite

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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.

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Analysis the Parameters of the Adaptive Controller for Quality Control of Dissolved Oxygen Concentration

Cited by 15 publications

References 13 publications

Supervisory Control System for Adaptive Phase and Work Cycle Management of Sequencing Wastewater Treatment Plant

Supervisory Control System for Adaptive Phase and Work Cycle Management of Sequencing Wastewater Treatment Plant

Computer methods for non-invasive measurement and control of two-phase flows: a review study

Improving SBR Performance Alongside with Cost Reduction through Optimizing Biological Processes and Dissolved Oxygen Concentration Trajectory

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