Oxygen Uptake Rate Measurement Using Kalman Filter and PWM Control in Activated Sludge Systems

Modeling, instrumentation, automation, and optimization of water resource recovery facilities (2019) DIRECT

“…An advanced control strategy incorporating conventional sensors and soft sensors was developed that provided improvement in initiating needed adjustments (Hernández‐del‐Olmo, Gaudioso, Duro, & Dormido, 2019). dos Santos Silva, Catunda, Dorea, van Haandel, and Rodrigues dos Santos (2019) used the Kalman filtering of online oxygen uptake rate to improve dissolved oxygen control compared with conventional DO control methodology. Qiao, Hou, and Han (2019) proposed an optimal control method that automatically adjusted rapidly to meet process control objectives and was shown to be an improvement when compared to standard benchmark control models.…”

Observer based robust H∞ fuzzy tracking control: application to an activated sludge process

“…Since the system states are not fully accessible to measurement a TS fuzzy observer is used to reconstruct all of them. Because of the nonlinear feature of the bioprocesses dynamics and the usually large uncertainty of some parameters, mainly the kinetic terms and the unknown inputs, the implementation of extended different versions of observers are very promising and have proved to be very successful in several applications e.g., Kalman filter to deal with Gaussian disturbances (Zeng et al, 2016;Silva et al, 2019) observer based on H ∞ technique (Katebi, 2001), the minimum entropy filtering method for non-Gaussian disturbances cases (Zhang, Chen & Yu, 2017). The main contribution of this article can be outlined as follows: we propose to split the TS system into two subsystems, one of which involves the part of the state variables to be controlled.…”