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    This study introduces an Extended Generalized Predictive Control (EGPC) method for petrochemical distillation columns. The new approach effectively manages complex dynamics, improving control accuracy and performance.

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    Area of Science:

    • Petrochemical Engineering
    • Control Systems Engineering

    Background:

    • Distillation columns are crucial in the petrochemical industry but exhibit complex dynamics like strong coupling and time delays.
    • Existing control methods struggle to accurately manage these characteristics, impacting process efficiency and product purity.

    Purpose of the Study:

    • To develop an advanced control strategy for high-purity distillation columns.
    • To address the challenges posed by strong coupling and large time delays in distillation processes.
    • To enhance the adaptive compensation capabilities for system uncertainties and model mismatches.

    Main Methods:

    • Proposed an Extended Generalized Predictive Control (EGPC) method, integrating Extended State Observer and Proportional-Integral Generalized Predictive Control principles.
    • Introduced a Grey Wolf Optimizer with reverse learning and adaptive leaders number strategies (RAGWO) for optimizing EGPC parameters.
    • Employed benchmark tests and extensive simulations to validate the proposed control strategy.

    Main Results:

    • The proposed EGPC method demonstrates adaptive online compensation for coupling and model mismatch effects.
    • The RAGWO algorithm shows superior performance over existing optimizers in benchmark tests.
    • Simulations confirm the EGPC method's superiority in reducing fluctuation and response time for distillation control.

    Conclusions:

    • The developed EGPC method, optimized by RAGWO, offers a robust solution for controlling distillation columns with complex dynamics.
    • This approach effectively balances the need for fast and soft control, leading to improved process performance.
    • The findings present a significant advancement in distillation process control within the petrochemical industry.