Research on Sintering End Temperature Control Based on Fuzzy Adaptive PID Control

The sintering end temperature serves as a critical process parameter for assessing the completion degree of the sintering process. Its control system exhibits significant inertia and pure delay characteristics, making conventional PID controllers struggle to maintain optimal performance under all operating conditions due to fixed parameters. This paper proposes a fuzzy adaptive PID control strategy that only adjusts proportional gain and derivative gain online while maintaining constant integral gain. Using the sintering end temperature as the controlled variable, performance comparisons were conducted with both a conventional PID controller tuned using Ziegler-Nichols method and the proposed approach regarding nominal tracking accuracy, output disturbance suppression capability, and model mismatch robustness. Results demonstrate that the proposed method reduces regulation time by 76.8% under nominal conditions without steady-state error; achieves maximum temperature deviation of merely 17.7% compared to conventional PID when subjected to a 25°C external disturbance; and maintains steady-state error within 0.5°C even under severe mismatch conditions where time constants and pure delay values increase by 33% and 37.5%, respectively. With its simple structure and strong robustness, this method provides an effective reference for field-based control of sintering end temperatures.

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