Research Article | DOI: https://doi.org/ISSRR-RA-25-015
Analysis and Control of the Activated Sludge Model (ASM1)
Abstract
Elimination of contamination in wastewater is crucial to ensure the well-being and health of the population. The activated sludge process is highly nonlinear, and many factors must be taken into account to ensure that the process is conducted most efficiently. Bifurcation analysis is a powerful mathematical tool used to deal with the nonlinear dynamics of any process. Several factors must be considered, and multiple objectives must be met simultaneously. Bifurcation analysis and multiobjective nonlinear model predictive control (MNLMPC) calculations are performed on the activated sludge model (ASM1). The MATLAB program MATCONT was used to perform the bifurcation analysis. The MNLMPC calculations were performed using the optimization language PYOMO in conjunction with the state-of-the-art global optimization solvers IPOPT and BARON. The bifurcation analysis revealed the existence of branch points in the model. The branch points were beneficial because they enabled the multiobjective nonlinear model predictive control calculations to converge to the Utopia point in both problems, which is the most beneficial solution. A combination of bifurcation analysis and multiobjective nonlinear model predictive control for the activated sludge model (ASM1) is the main contribution of this paper.
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