Design and Comparative Study of PID and Fuzzy Pid Temperature Control for Gas Chromatograph Column Oven

Résumé fourni par la source

The temperature stability of the column oven in a gas chromatograph is a critical factor influencing both sample separation efficiency and the accuracy of analytical results. However, due to the inherent thermal inertia, nonlinear heat transfer, and unavoidable time delay of the heating system, traditional PID control often results in slow response, large overshoot, and unsatisfactory steady-state precision under varying operating conditions. To address these challenges, this study establishes a dynamic model of the column oven based on energy conservation and heat conduction theory, simplified as second-order inertial system with temperature-dependent gain and pure time delay. On this basis, both a conventional PID controller and a fuzzy PID controller are designed and simulated using Simulink. The fuzzy PID controller employs temperature deviation and its rate of change as linguistic inputs to adaptively adjust PID parameters through fuzzy inference rules. Simulation results indicate that the fuzzy PID method significantly improves transient response, minimizes overshoot and steady-state error, and enhances robustness against external disturbances, offering an effective strategy for achieving high-precision temperature control in gas chromatograph systems.

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