FUZZY ROBUST CONTROLLERS FOR GAS PURIFICATION PROCESSES
DOI:
https://doi.org/10.5281/zenodo.18623599Keywords:
gas purification, fuzzy robust control, mathematical model, absorption, adsorption.Abstract
Gas purification processes are critical in industries such as natural gas processing, petrochemicals, and
environmental engineering, where high-purity gas streams are required. These processes are characterized by nonlinear
dynamics, parameter uncertainties, and external disturbances, posing significant challenges for control design. This
paper proposes a fuzzy robust control strategy that integrates fuzzy logic with H∞ control theory to ensure stability and
optimal performance under varying operating conditions. A detailed mathematical model of a gas purification process,
specifically an absorption-based system, is developed. The fuzzy robust controller is designed to handle uncertainties in
feed composition and flow rates while rejecting disturbances such as pressure fluctuations. Simulation results demonstrate
that the proposed controller achieves a 30% reduction in tracking error and a 25% improvement in disturbance rejection
compared to a conventional PID controller. Sensitivity analysis confirms the robustness of the controller across a range
of operating conditions. The methodology is validated using a simulated absorption column, highlighting its applicability
to industrial gas purification systems.
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