Innovation science and technologiy Volume 2 Issue 2 (2026)
FUZZY ROBUST CONTROLLERS FOR GAS PURIFICATION PROCESSES
Sh. D. Tulyaganov
Abstract
Gas purification processes are critical in industries such as natural gas processing, petrochemicals, andenvironmental engineering, where high-purity gas streams are required. These processes are characterized by nonlineardynamics, parameter uncertainties, and external disturbances, posing significant challenges for control design. Thispaper proposes a fuzzy robust control strategy that integrates fuzzy logic with H∞ control theory to ensure stability andoptimal 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 infeed composition and flow rates while rejecting disturbances such as pressure fluctuations. Simulation results demonstratethat the proposed controller achieves a 30% reduction in tracking error and a 25% improvement in disturbance rejectioncompared to a conventional PID controller. Sensitivity analysis confirms the robustness of the controller across a rangeof operating conditions. The methodology is validated using a simulated absorption column, highlighting its applicabilityto industrial gas purification systems.
gas purification, fuzzy robust control, mathematical model, absorption, adsorption.
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