【摘要】 为解决结晶器脱模系统在非线性和时变负载等复杂条件下运行时所面临的控制挑战，提出了一种结合跟踪微分器和模糊PID的创新控制策略，称为跟踪微分模糊PID复合控制。该控制拥有两个关键特征：误差信号的快速跟踪和PID参数的动态自整定。使用AMESim和Simulink进行联合仿真，结果证明：跟踪微分模糊PID复合控制在多个方面优于传统PID和模糊PID控制。首先，该控制提高了系统的响应速度，同时减少了响应滞后和稳态误差。其次，在存在高频噪声和未知大负载干扰的情况下，该控制表现出卓越的轨迹跟踪性能和更强的抗干扰能力，为结晶器脱模系统的高精度液压伺服控制提供了新的理论支持。更多还原

【Abstract】 This study addresses control challenges in mold demolding systems under nonlinear and time-varying load conditions. A tracking differential fuzzy PID compound control strategy is proposed to enhance system performance by integrating tracking differentiator technology with fuzzy PID control. The strategy features rapid error signal tracking and dynamic self-tuning of PID parameters. The co-simulation experiments combining AMESim and Simulink validate the proposed method. The results demonstrate significant improvements over conventional PID and fuzzy PID controllers: reduced response lag and steady-state error, enhanced tracking precision under high-frequency noise and superior disturbance rejection against unknown large-load interference. The control strategy maintains stable performance in complex operating environments while achieving faster dynamic response. These findings provide theoretical support for high-precision hydraulic servo control in mold demolding systems, particularly in scenarios requiring robust adaptability to nonlinear disturbances. The proposed method offers a practical solution for optimizing industrial mold demolding processes with time-varying dynamics.更多还原