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| 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 49700 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Shahrokhi, Mohammad
  7. Abstract:
  8. Anaerobic digestion is a useful process that is very important, addition to producing methane as energy source, it can be used for treatment of solid waste and sewage sludge. This process due to the presene of chemical and biological reactions and abundant chemical species, is very complicated and sensitive, so it is very unstable against any kind of change. as for the large importance of the process, we need control and optimization. In order to improving the performance of the process and increasing biogas and methane production, we should control and optimize the process. ADM1 is principal and the most accurate model for this process, a variety of reduced order models used to design controller. Here, AM2HN model has been used beacause it is new model and it haven't some of other reduced order models. At first, by steady state analysis and simulation of system, the optimal operating point where the methane production meet the maximum value, determined then controller will design to regulate the system at this point. In the following, Predictive control and optimal control is used to design controller. Then a comparison between their performances showed that adaptive predictive control has better performance against optimal control in different condition
  9. Keywords:
  10. Anaerobic Digestion ; Optimal Control ; Model Predictive Control ; Control Systems Design ; Extremum Seeking ; AM2HN Model

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