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Model Predictive Control of pH in Electrochemical Treatment of Tumors

Hashemzadeh, Pouya | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51535 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza
  7. Abstract:
  8. Electrochemical treatment of tumors introduces cancer therapy method that uses direct current which passes through cancer tissue. The manipulated variable (direct current density) is applied to the surface of the electrode. As a result of applying direct current on the anode's surface, two competition reactions start to happen on the electrode's surface, Chlorine and Oxygen evolutions. The productions of these two reactions for instance Cl_2 , Cl^- and H^+ caused different reactions in the domain of the electrolyte which is the body tissue. According to the buffer characteristic of blood and organic features of tissue, various types of acids like HClO form in the electrolyte. If the pH in the domain of this electrolyte become lower than 2 the tumor will be destroyed absolutely. Consequently, one of the exciting challenges of this tumor treatment method is the dosage planning which is the prediction and calculation of the minimum required dosage to reach suitable pH. In this thesis different controllers (DDC (Dahlin), PID and NMPC) was used in order to apply an appropriate and optimal dosage of the current density to achieve suitable pH
  9. Keywords:
  10. Proportional-Integral-Derivative (PID)Controller ; DDC. Dahlin Controller ; Electrochemical Treatment ; Distributed Nonlinear Model Predictive Controller (DNMPC) ; Computational-Electrochemical Transport Phenomenon ; Tumors ; Cancer Treatment

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