摘要
如何提高在复杂工况下的冷带板厚控制精度是当今该领域的前沿热点问题。轧机厚控系统被控对象增益随轧制工况变化具有慢时变性,设计参数估计器并得出其辨识参数收敛条件,以此实现对被控对象增益参数的辨识。根据保性能控制策略,利用参数辨识值设计自适应控制器以提高控制系统对工况变化的适应能力。最后通过仿真表明所设计辨识器能对被控对象增益参数进行有效辨识;通过铝带轧制实验测试保性能自校正控制策略的厚控效能,结果表明该方法能有效改善对象增益参数慢时变时的板厚控制精度。
Studying how to improve the thickness control precision of cold plate is a hotspot-forefront topic in the rolling field. With change of rolling conditions, the gain of controlled object in the rolling mill gauge control system is time-varying. To recognize the controlled object’s gain, a parameter estimator is designed and the convergence condition is attained. For improving the system adaptive capacity with the changing work conditions, a kind adaptive control algorithm is designed with the identified parameters. Finally, the ability to identify parameters of the designed estimator is verified by the computer simulation. The thickness control efficiency of the adaptive control algorithm based on gain identification is tested through the rolling experiment on aluminium plates and the results show that the designed method can effectively improve the thickness accuracy.
出处
《液压与气动》
北大核心
2016年第7期1-5,共5页
Chinese Hydraulics & Pneumatics
基金
国家自然科学基金青年项目(51305389)
国家智能制造专项(发改办高技[2014]2558)
国家冷轧板带装备及工艺工程技术研究中心开放课题(0050004)
关键词
冷轧机
厚控系统
增益辨识
自适应
cold rolling mill, gauge control system, gain identification, maintain performance
