ARX/NARX modeling and PID controller in a UV/H2O2 tubular photoreactor for aqueous PVA degradation

Lin, Yi; Dhib, Ramdhane; Mehrvar, Mehrab

doi:10.1016/j.cherd.2023.05.042

Cited by 3 publications

(3 citation statements)

References 33 publications

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“…However, the open-loop stability test and whiteness test failed. In the second scenario [75], fitting the experimental data to the HW structure led to a relatively low fitness level for the training and validation data, with values of 50.6% and 24.76%, respectively. Also, modelling the process using NARX, along with the tree partition function, resulted in the best fit in the single-photoreactor scenario.…”

Section: Modelling Aop-based Treatment Processesmentioning

confidence: 99%

“…This was accomplished through the regulation of inlet wastewater flow rate and inlet H 2 O 2 concentration. Lin et al [75] developed dynamic models using system identification techniques to map the nonlinearity of the UV/H 2 O 2 process. Later, they employed the best-developed models in designing controllers.…”

Section: Controlling Aop-based Treatment Processesmentioning

confidence: 99%

“…It was observed that ARX-PID and ARX-sigmoid-PID have the best performance of all. However, the response of the NARX-sigmoid-PID was sluggish, and the ARX-PID had a considerable overshoot [36,37,75].…”

Section: Controlling Aop-based Treatment Processesmentioning

confidence: 99%

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Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent Developments

Parsa,

Dhib,

Mehrvar

2024

Bioengineering

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This review emphasizes the significance of formulating control strategies for biological and advanced oxidation process (AOP)-based wastewater treatment systems. The aim is to guarantee that the effluent quality continuously aligns with environmental regulations while operating costs are minimized. It highlights the significance of understanding the dynamic behaviour of the process in developing effective control schemes. The most common process control strategies in wastewater treatment plants (WWTPs) are explained and listed. It is emphasized that the proper control scheme should be selected based on the process dynamic behaviour and control goal. This study further discusses the challenges associated with the control of wastewater treatment processes, including inadequacies in developed models, the limitations of most control strategies to the simulation stage, the imperative requirement for real-time data, and the financial and technical intricacies associated with implementing advanced controller hardware. It is discussed that the necessity of the availability of real-time data to achieve reliable control can be achieved by implementing proper, accurate hardware sensors in suitable locations of the process or by developing and implementing soft sensors. This study recommends further investigation on available actuators and the criteria for choosing the most appropriate one to achieve robust and reliable control in WWTPs, especially for biological and AOP-based treatment approaches.

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Section: Modelling Aop-based Treatment Processesmentioning

confidence: 99%

Section: Controlling Aop-based Treatment Processesmentioning

confidence: 99%