根据广义预测控制的预测模型、滚动优化和在线反馈校正等特征,设计一种基于广义预测控制器的监控AGC系统,并以某冷轧实验轧机为对象,对其控制性能进行仿真。研究结果表明:在模型匹配时,常规Smith预估器响应时间比广泛预测控制的少,稳态精度上比广义预测控制器的高;在轧件塑性系数或系统滞后时间计算不准确导致模型不匹配时,常规Smith预估器出现了系统超调或振荡现象,而广义预测控制器基本不受模型参数变化的影响。
Using the characteristics of prediction model, rolling optimization and feedback correction, a monitor AGC system based on generalized predictive control was designed, and its control performance was simulated based on a cold rolling experimental mill. The results show that the Smith predictor achieves better control effects than generalized predictive controller on response time and steady precision with matching model; when model mismatching is caused by inaccuracy of plastic coefficient and pure delay time, the Smith predictor AGC system is overshot or even oscillation, but the control performance of the generalized predictive controller is not influenced by model parameter variations.