一种基于改进的模糊Smith预估器冷轧AGC控制系统

A cold mill AGC control system based on improved fuzzy Smith predictor

常规Smith预估器是基于时滞对象精确数学模型的,在实际应用中,当冷轧AGC时滞系统的参数不稳定或受到扰动时,就会造成预估模型的失配,控制效果会变差甚至振荡。对这一问题进行分析,在模糊Smith预估控制的基础上提出一种新的控制方案,分别对模糊控制器和Smith预估器进行改进。改进后的方案增强了被控系统的鲁棒性,并具有一定的适应参数变化的能力。

A typical Smith predictor is based on precise time delay system model, the parameters of AGC time delay system may be unstable or being disturbed in practical application. This will lead the Smith predictor model not to match system model, and make control effect bad, even oscillatory. An improved method is presented on the basis of fuzzy Smith predictor controller. The improved method enhances robustness of controlled system and has certain parametric adaptability.