采用Smith预估低通滤波补偿的AGC控制系统

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。

Smith predictive delay control based on low-pass filter compensation of AGC system

The capacity of automatic gauge control (AGC) servo system decides the production quality, which is the core technology of modern rolling mill, so it is of great significant to improve the control capacity. The gauge system model with delay loop was established. One kind of Smith predictor compensation control algorithm was proposed by way of connecting a low-pass filter in feed-back channels in series-connection, which compensated the controller and improved the robustness capacity. For the problems of many adjustable parameters and the difficulty in adjustment, optimization program was achieved to set the parameters of PI controller and to compensate the filter by using the genetic algorithm. The simulation results show that Smith predictive forward compensation controller with the genetic algorithm optimization improves the robustness and control accuracy, the anticipated capacity is achieved.