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作为现代轧机核心技术的板厚控制系统,其性能直接决定了轧制产品质量,提高该系统的控制性能具有重要意义。为此,建立了考虑延时环节的板厚控制模型,通过在Smith预估控制器的反馈回路串接低通滤波器对系统进行预估控制,用来对控制器进行补偿,以提高控制系统鲁棒性。针对改进后系统可调参数多,参数调整困难的问题,提出通过遗传算法程序进行PI控制器及滤波补偿器参数的整定。仿真研究结果表明,基于遗传算法参数寻优的Smith预估控制器低通滤波补偿算法提高了系统鲁棒性和系统控制精度,达到了期望的控制性能。
As the core technology of modern rolling mill thickness control system, its performance directly determines the quality of rolled products, improve the control performance of the system is of great significance. For this reason, a control model of slab thickness considering delay is set up, and the system is estimated and controlled by cascaded low-pass filter in the feedback loop of Smith predictive controller, which is used to compensate the controller to improve the control system Robustness. Aiming at the problem of many adjustable parameters and difficult parameter adjustment after the improvement, the parameters of PI controller and filter compensator are proposed by genetic algorithm. The simulation results show that the low pass filter compensation algorithm of Smith predictor controller based on genetic algorithm parameters optimization improves the system robustness and system control accuracy and achieves the desired control performance.