Control of a Bioreactor Using Artificial Intelligent Methods<br/>

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Control of a Bioreactor Using Artificial Intelligent Methods

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 46269 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Shahrokhi, Mohammad
Abstract:
The goal of this project is finding an appropriate method for controlling four different bioreactors with unknown dynamics. At first, an introduction to bioreactor dynamic hase been presented, then their nonlinear behavior has been discussed. In the following, four output control systems using adaptive neural network have been designed separately for four different dynamics. The applied control method has been adapted from a method of references with some changes. Performances of designed controllers in set point tracking, load rejection and model mismatch have been evaluated using simulation. In these studies, input saturation has been considered in simulations but it is not existed in stability proof. In the following, a new approach for controlling completely unknown dynamics under input nonlinearity such as input saturation has been presented which also has closed-loop stability proof. The performance of designed controller under input saturation has been examined using simulation as well
Keywords:
Adaptive Control ; Input Constraint ; Intelligent Control ; Bioreactor ; Adaptive Neural Network ; Input Nonlinearity

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