In order to effectively control the liquid level of the continuous caster crystallizer at the target value and solve the modeling difficulties caused by system interference,nonlinear,and time-varying factors,the grey wolf optimization algorithm GWO is introduced to optimize and self-adjust the PID control parameters.Based on the adjustment time and steady-state error of the continuous caster crystallizer liquid level system,an objective function is constructed.The simulation results show that the step response curve of the GWO-PID system is smoother,with an overshoot of 7.08％,which is smaller than other types of PID controllers;the response speed is faster,with adjustment time of 5.03s,less than other types of PID controllers,which can significantly improve the control speed and accuracy of the system.
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