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Article

Optimal Parameter Estimation in Activated Sludge Process Based Wastewater Treatment Practice

by 1,2,3,4,*, 1,3,4, 1 and 2
1
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2
School of Engineering, Royal Melbourne Institute of Technology (RMIT University), Melbourne 3000, Australia
3
Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou 730050, China
4
National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(9), 2604; https://doi.org/10.3390/w12092604
Received: 3 July 2020 / Revised: 8 September 2020 / Accepted: 12 September 2020 / Published: 17 September 2020
Activated sludge models (ASMs) are often used in the simulation of the wastewater treatment process to evaluate whether the effluent quality parameters of a wastewater treatment plant meet the standards. The premise of successful simulation is to choose appropriate dynamic parameters for the model. A niche based adaptive invasive weed optimization (NAIWO) algorithm is proposed in this paper to find the appropriate kinetic parameters of activated sludge model 1 (ASM1). The niche idea is used to improve the possibility of convergence to the global optimal solution. In addition, the adaptive mechanism and periodic operator are introduced to improve the convergence speed and accuracy of the algorithm. Finally, NAIWO is used to optimize the parameters of ASM1. Comparison with other intelligent algorithms such as invasive weed optimization (IWO), genetic algorithm (GA), and bat algorithm (BA) showed the higher convergence accuracy and faster convergence speed of NAIWO. The results showed that the ASM1 model results agreed with measured data with smaller errors. View Full-Text
Keywords: activated sludge model 1 (ASM1); intelligent algorithm; invasive weed optimization (IWO); parameter estimation; wastewater treatment activated sludge model 1 (ASM1); intelligent algorithm; invasive weed optimization (IWO); parameter estimation; wastewater treatment
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MDPI and ACS Style

Du, X.; Ma, Y.; Wei, X.; Jegatheesan, V. Optimal Parameter Estimation in Activated Sludge Process Based Wastewater Treatment Practice. Water 2020, 12, 2604. https://doi.org/10.3390/w12092604

AMA Style

Du X, Ma Y, Wei X, Jegatheesan V. Optimal Parameter Estimation in Activated Sludge Process Based Wastewater Treatment Practice. Water. 2020; 12(9):2604. https://doi.org/10.3390/w12092604

Chicago/Turabian Style

Du, Xianjun, Yue Ma, Xueqin Wei, and Veeriah Jegatheesan. 2020. "Optimal Parameter Estimation in Activated Sludge Process Based Wastewater Treatment Practice" Water 12, no. 9: 2604. https://doi.org/10.3390/w12092604

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