Non-linear multivariable adaptive control of an activated sludge wastewater treatment process

Abstract

SUMMARYIn this paper a non-linear adaptive feedback-linearizing control is designed for a biological wastewater treatment model. The adaptive control structure is based on the non-linear model of the process and combined with a joint observer estimator which plays the role of the software sensor for the on-line estimation of biological states and parameter variables of interest of the bioprocess. The performances of both estimation and control algorithms are illustrated by simulation results. They demonstrate e!ectiveness and signi"cant robustness against measurement noises and kinetic parameter jumps.

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

“…The attenuation level is given by: R ¼ 0:0385 À0:0278 À0:0056 0:0000 0:0006 À0:0278 0:0379 À0:0066 0:0000 À0:0003 À0:0056 À0:0066 0:0598 0:0000 À0:0220 0:0000 0:0000 0:0000 1:0000 0:0000 0:0006 À0:0003 À0:0220 0:0000 0:0516 2 6 6 6 6 4 3 7 7 7 7 5 bellow are given some of the observer gains: (Nejjari et al, 1999 To test the robustness of the proposed method, two type of disturbances are introduced during the simulation as follows:…”

Adaptive Anti-Disturbance Control of Dissolved Oxygen in Circulating Water Culture Systems

“…The respiration rate of cultures is influenced by a variety of internal and external factors. The relationship between the respiration rate, temperature, and body weight of farmed crabs is generally described by the following equation [33,34]:…”

Optimal detuning of multivariable proportional integral controller based on data‐driven approach for an activated sludge process

“…51 Any control studies, for that matter, need not incorporate all the processes that have respective outcomes. 16 Generally, the controller designer assumes a simplification in the model stage to reduce the complexity. This action could probably lead to a conservative solution, degraded performances, and/or robustness.…”

“…A set of four nonlinear differential equations were considered for the current study. 16 Customarily, the control study does not demand a complete description of physical, chemical, and biological processes. Hence, a few assumptions were formulated within the biological model to make it less complex.…”

“…It involves an extremely complicated task to model such a system 51 . Any control studies, for that matter, need not incorporate all the processes that have respective outcomes 16 . Generally, the controller designer assumes a simplification in the model stage to reduce the complexity.…”