Modeling & Controller Design for Ammonia Production Plant

Precise control is required ensuring optimal performance and the quality of product in the chemical industry that produces ammonia. This study focuses on designing a control system for Ammonia production process based on a Haber-Bosch process. The primary objective of this research study is to maint...

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Bibliographic Details
Published in2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN) pp. 804 - 808
Main Authors Sunori, Sandeep Kumar, Manu, Mehul, Juneja, Pradeep
Format Conference Proceeding
LanguageEnglish
Published IEEE 03.07.2024
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DOI10.1109/ICIPCN63822.2024.00139

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Summary:Precise control is required ensuring optimal performance and the quality of product in the chemical industry that produces ammonia. This study focuses on designing a control system for Ammonia production process based on a Haber-Bosch process. The primary objective of this research study is to maintain the produced Ammonia concentration at a given level. For designing the control system, a First Order Plus Dead Time (FOPDT) model has been utilized, the model gets hydrogen flow rate as input, and the resultant Ammonia concentration as output. First of all, the stability analysis of this FOPDT model has been conducted with the help of Nyquist plot, Nichols diagram, and Bode diagram. Two different control systems have been established for this model in MATLAB, one is done by using the ordinary PI controller, and the other one is by using the PI controller with Smith predictor, which compensates the dead time existing in the system model and improves the overall efficiency and system stability. Finally, the control performance of both the developed control systems have been evaluated based on the settling time, disturbance rejection time and the closed-loop bandwidth. The Bode diagram gives this frequency response comparison of both the developed models by providing valued information about the dynamic behavior of control systems.
DOI:10.1109/ICIPCN63822.2024.00139