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American Journal of Applied Science and Technology

Peer Reviewed | Open Access | E-ISSN: 2771-2745
Published Article

ADAPTIVE CONTROL SYSTEM FOR A FLUIDIZED BED DRYER

ADAPTIVE CONTROL SYSTEM FOR A FLUIDIZED BED DRYER

  • Bekkulov Jakhongir Sherbaevich
    Department of "Automation and Control of Technological Processes," Doctor of Philosophy in Technical Sciences, Karshi Institute of Engineering and Economics, Uzbekistan
  • Saidov Imam Hasan ugli
    Master's student of the "Automation and Control of Technological Processes" Department, Karshi Institute of Engineering and Economics, Uzbekistan
  • Akhemoda Sitora Askar kizi
    Student of the Department of "Automation and Control of Technological Processes", Karshi Institute of Engineering and Economics, Uzbekistan
  • Turaev Orzubek Amir ugli
    Student of the Department of "Automation and Control of Technological Processes", Karshi Institute of Engineering and Economics, Uzbekistan
Intensity dynamic model

The advantages and disadvantages of numerous interconnected adaptive drying process control systems have been analyzed. An adaptive system for the process has been developed that enables the calculation of hydrodynamics and seed moisture content in a fluidized bed. This system is based on the separation of reactive zones, taking into account the fluidized bed and dynamic models of the drying process within the fluidized bed.

Sherbоevich, B. Z. (2023). Advanced control system for the drying process of potassium chloride in a drum dryer. PEDAGOGS, 46(2), 48-54.

Nurullаеviсh, K. S., & Sherboyevich, B. J. (2024). Abstract boiling on the example of an improved control system for the combustion of natural gas (potassium chloride) in the calorifier of the dryer. American Journal of Innovation in Science Research and Development, 1(7), 18-27.

Zhuraev, F. D., & Bekkulov, J. S. (2018). Analysis of membership functions and assessment of the condition of the management object. Scientific Knowledge of Modernity, (6), 31-35.

Zhuraev, F. D., & Bekkulov, J. S. (2018). Tasks Of Calculation And Design Of Automatic Control Systems. Scientific knowledge of Modernity, (6), 24-30.

Sherboyevich, B. J. (2022). Virtual analyzers used in determining the quality of Mineral fertilizers. Innovasionnie podhodi, problemi, predlojeniya I resheniya V nauke I obrazovanii, 1(1), 79-83.

Zhuraev, F. D., & Bekkulov, J. S. (2018). Identification of model parameters of a complex control object. Scientific knowledge of modernity, (6), 47-52.

Sherboyevich, B. J. (2024). Automatic Adjustment of Electromotor Speed. Miasto Przyszłości, 48, 1408-1412..

Sherboyevich, B. J., & Askarovna, A. S. (2024). The conceptual structure of the APC-an improved system for monitoring and controlling technological processes for the production of mineral (potash) fertilizers. American Journal of multifunctional publishing, 1(7), 26-35.