Open Access

A New Approach to Designing Control of Dissolved Oxygen and Aeration System in Sequencing Batch Reactor by Applied Backstepping Control Algorithm


Cite

Riffat R, Husnain T. Fundamentals of Wastewater Treatment and Engineering. 2nd ed. London: CRC Press; 2022. Search in Google Scholar

Khan AH, Rudayni HA, Chaudhary AA, Imran M, Vambol S. Modern use of modified Sequencing Batch Reactor in wastewater Treatment. EQ [Internet]. 2022 Jul. 11 [cited 2023 Jan. 25];33(4):1-23. Search in Google Scholar

Pittoors E, Guo Y, Van Hulle SWH. Modeling Dissolved Oxygen Concentration for Optimizing Aeration Systems and Reducing Oxygen Consumption in Activated Sludge Processes: A Review. Chemical Engineering Communications. 2014;201(8): 983-1002. Search in Google Scholar

Olsson G, Rundqwist L, Eriksson L, Hall L. Self-Tuning Control of the Dissolved Oxygen Concentration in Activated Sludge Systems. Instrumentation and Control of Water and Wastewater Treatment and Transport Systems: Proceedings of the 4th IAWPRC Workshop Held in Houston and Denver, U.S.A., 27 April – 4 May 1985. Pergamon Press Ltd. 1985:473-480. Search in Google Scholar

Holmberg U. Adaptive Dissolved Oxygen Control and On-Line Estimation of Oxygen Transfer and Respiration Rates. Department of Automatic Control. Lund Institute of Technology; 1987. Search in Google Scholar

Nejjari F, Khoury B, PuigV, Quevedo J, PascualJ, de Campos S. Economic Linear Parameter Varying Model Predictive Control of the Aeration System of a Wastewater Treatment Plant. Sensors. 2022;22(16):6008. Search in Google Scholar

Sheik AG, Seepana MM, Ambati SR. Supervisory control configurations design for nitrogen and phosphorus removal in wastewater treatment plants. Water Environ Res. 2021;93(8):1289-1302. Search in Google Scholar

Piotrowski R. Supervisory fuzzy control system for biological processes in sequencing wastewater batch reactor. Urban Water Journal. 2020;17:325-32. Search in Google Scholar

Man Y, Shen WH, Chen XQ, Long Z, Corriou, JP. Dissolved oxygen control strategies for the industrial sequencing batch reactor of the wastewater treatment process in the papermaking industry. Environmental Science-Water Research & Technology. 2018;4(5):654–662. Search in Google Scholar

Du X, Wang J, Jegatheesan V, Shi G. Dissolved Oxygen Control in Activated Sludge Process Using a Neural Network-Based Adaptive PID Algorithm. Applied Sciences. 2018;8(2):261. Search in Google Scholar

Nguyen A, Taniguchi T, Eciolaza L, Campos V, Palhares R, Sugeno M. Fuzzy Control Systems: Past, Present and Future. IEEE Computational Intelligence Magazine. 2019; 14(1): 56-68. Search in Google Scholar

Khatri N, Khatri KK, Sharma A. Enhanced Energy Saving in Wastewater Treatment Plant using Dissolved Oxygen Control and Hydrocyclone. Environmental Technology & Innovation. 2020; 18: 100678. Search in Google Scholar

Bai K, Jiang G, Jiang G, Liu Z.Based on fuzzy-approximation adaptive backstepping control method for dual-arm of humanoid robot with trajectory tracking. International Journal of Advanced Robotic Systems.2019;16(3). Search in Google Scholar

Chaabane H, Djalal Eddine K, Salim C. Sensorless back stepping control using a Luenberger observer for double-star induction motor. Archives of Electrical Engineering. 2019;69(1):101-116. Search in Google Scholar

Henze M, Gujer W, Mino T, Matsuo T, Wentzel MC, Marais GVR, Van Loosdrecht MC. Activated sludge model no. 2d, ASM2d. Water science and technology. 1999;39(1):165-182. Search in Google Scholar

IFAK Technology, Simba. user’s Guide. https://www.ifak.eu/en/produkte/simba. Accessed: 2023-01-10. Search in Google Scholar

Olsson G, Newell R. Wastewater treatment systems. Modelling, diagnosis and control. London: IWA Publishing; 1999. Search in Google Scholar

Piotrowski R, Brdyś MA, Konarczak K, Duzinkiewicz K, Chotkowski W. Hierarchical dissolved oxygen control for activated sludge processes. Control Engineering Practice. 2008;16(1):114-131. Search in Google Scholar

Piotrowski R, Ujazdowski T. Model of aeration system at biological wastewater treatment plant for control design purposes. Proc. of the 20th Polish Control Conference – KKA’2020. October 14-29, 2020, Łódź, Poland, (in:) Bartoszewicz A., Kabziński J., Kacprzyk J. (eds). Advanced, Contemporary Control. Advances in Intelligent Systems and Computing. Springer; 2020;1196:349-359. Search in Google Scholar

Witkowska A, Tomera M, Śmierzchalski R. A Backstepping Approach to Ship Course Control. International Journal of Applied Mathematics and Computer Science. 2007;17(1):73-85. Search in Google Scholar