冷连轧AGC系统的自适应Smith广义预测控制  

Adaptive Smith Generalized Predictive Control for AGC System of Tandem Cold Rolling

作　　者：李仲德[1] 杨卫东[1] 

机构地区：[1]北京科技大学信息工程学院,北京100083

出　　处：《信息与控制》2009年第5期575-579,共5页Information and Control

基　　金：国家高技术专项基金资助项目(2005-1)

摘　　要：针对冷连轧AGC系统存在较大的时间滞后以及对象模型参数时变的特点,提出了一种自适应Smith广义预测控制算法.该算法用Smith预估器来克服滞后的影响,利用激光测速仪间接测量AGC系统的滞后时间以修正Smith预估器的时滞部分模型,使用渐消记忆递推最小二乘算法在线辨识对象参数来修正Smith预估器的非时滞部分的模型,并根据辨识得到的对象参数设计自适应广义预测控制器代替传统Smith预估算法中的PID控制器.仿真研究表明,在模型失配及干扰的情况下,该控制算法仍然具有良好的控制性能和鲁棒稳定性能.In view of time-varying parameters of the plant model and the large time delay of AGC （automatic gauge control） system for tandem cold rolling, an adaptive Smith generalized predictive control algorithm （ASGPC） is proposed. In this algorithm, a Smith predictor is introduced to eliminate the negative effect of time delay. It uses laser velometer to measure the time delay of AGC system and uses fading memory recursive least square algorithm to identify the plant parameters and then modifies the model of the non-time-delay part of the Smith predictor. The PID controller in traditional Smith predictive algorithm is replaced with the adaptive GPC controller designed based on the identified model parameters. Simulation results show that it still has good control performance and robust stability even though there is model mismatching and disturbances.

关 键 词：自适应广义预测控制 参数辨识 SMITH预估器 自动厚度控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]