Artificial Intelligence Techniques based on aquaculture solar thermal water heating system control

Authors

  • Doaa M. Atia Author
  • Faten H. Fahmy Author
  • Ninet M. Ahmed Author
  • Hassen T. Dorrah Author

DOI:

https://doi.org/10.24084/repqj09.536

Abstract

The One of the most promising applications of hot water is aquaculture. Temperature is one of the most principle parameters affects aquaculture life. It can cause stress and mortality or superior environment for growth and reproduction. Shrimp is warm water aquaculture type need hot water supply. To increase pond production it is necessary to keep water temperature at 34oC. Artificial intelligence (AI) techniques are becoming useful as alternate approaches to conventional techniques or as components of integrated systems. They have been used to solve complicated practical problems in various areas and are becoming more and more popular nowadays. In this paper a control system using artificial neural network control (NNC) either adaptive fuzzy logic control (AFLC) are design to control the hot water temperature. A comparison study is applied between the performance of FLC and NNC. The performance of NNC is the best because the control design takes into consideration different variables which give an accurate output than FLC. Also this paper introduces a complete mathematical modeling and MATLAB SIMULINK model for the proposed aquaculture heating system.

Author Biographies

  • Doaa M. Atia

    Photovoltaic Cell Department

    Electronic Research Institute

    Cairo, Egypt

    Phone/Fax number: +202 33351631, Email : doaa_matia@yahoo.com

  • Faten H. Fahmy

    1 Photovoltaic Cell Department

    Electronic Research Institute

    Cairo, Egypt

    Phone/Fax number: +202 33351631

  • Ninet M. Ahmed

    Photovoltaic Cell Department Electronic Research Institute Cairo, Egypt Phone/Fax number: +202 33351631

  • Hassen T. Dorrah

    Departments of Electrical Power and Machines,

    Faculty of Engineering, Cairo University

    Cairo, Egypt

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Published

2024-01-17

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Section

Articles