Stable Adaptive Fuzzy Control of Wastewater Treatment Plants
Date
2015-04-20
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Abstract
A biological process is an essential secondary treatment in wastewater treatment, where bacteria degrade organic substances. It is referred to as an activated sludge process. Two models in this thesis are selected to represent an activated sludge process. One is a 4 *4 model and the other is the benchmark Activated Sludge Model no.1 (ASM1). The main objective of this thesis is to design and develop an adaptive fuzzy controller to control an activated sludge process with unknown influent flow and disturbances. Lyapunov’s direct method is used for theoretically analyzing the dynamic system with control. The fuzzy system works as a nonlinear approximator, and an adaptive control is designed to adapt the parameters of the fuzzy sets in order to guarantee stability. A supervisory control is developed to improve the performance of the fuzzy approximator. Also,
parameter projection is used for the adaptive parameters to ensure robustness to disturbances by bounding the parameter growth. Simulations of the control with both activated sludge models show improved performance compared to PI controls.
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Engineering--Automotive, Engineering--Chemical, Engineering--Electronics and Electrical
Citation
Wang, Y. (2015). Stable Adaptive Fuzzy Control of Wastewater Treatment Plants (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27866