The mold level is the key to stable continuous casting production process, and its fluctuation determines the quality of the slab. It is of great economic and scientific value to stabilize the mold level in numerous disturbances and complicated operating modes. To achieve high-precision and fast-response control of mold level control in engineering applications, a fuzzy PID controller with nonlinear compensation term is designed in this paper. By analyze the dynamic characteristics of the mold level, a fuzzy PID controller is designed. The parameters of fuzzy controller is optimized by using PSO algorithm, which achieves a better control effect in abnormal operating conditions. More importantly, a nonlinear compensation term is introduced to compensate the output of the fuzzy PID controller, thus further improving the anti-interference ability of the system. To verify the superiority of our method, a series of simulation studies are carried out. Finally, the method is applied to industrial sites. The running results show that, compared with the traditional control method, our method effectively improves the anti-interference ability under normal operating conditions and better suppresses the fluctuation of casting opening.

结晶器高度是稳定连铸生产过程的关键，其波动决定了铸坯的质量。在众多的干扰和复杂的操作模式下稳定模具的高度具有重要的经济和科学价值。为了在工程应用中实现高精度，快速的模具液位控制，设计了带有非线性补偿项的模糊PID控制器。通过分析模具水平仪的动态特性，设计了模糊PID控制器。采用PSO算法对模糊控制器的参数进行优化，在异常工况下具有较好的控制效果。更重要的是，引入了非线性补偿项来补偿模糊PID控制器的输出，从而进一步提高了系统的抗干扰能力。为了验证我们方法的优越性，进行了一系列仿真研究。最后，将该方法应用于工业现场。运行结果表明，与传统控制方法相比，该方法有效提高了正常工况下的抗干扰能力，较好地抑制了铸件开度的波动。