首页|基于扩张状态观测器的冷带轧机速度张力系统固定时间预设性能控制

基于扩张状态观测器的冷带轧机速度张力系统固定时间预设性能控制

扫码查看
可逆冷带轧机是生产带钢产品的专用设备,维持其张力恒定,保证其轧制速度稳态精度是解决带钢板形板厚品质问题的有效手段.为了提高冷带轧机速度张力系统的跟踪控制精度,提出了一种基于扩张状态观测器(extended state observers,ESOs)的固定时间预设性能控制方法.构造ESOs对系统的非匹配不确定项进行观测,并将观测值引入到控制器中进行补偿,有效提高了系统的跟踪控制精度;基于预设性能函数法和固定时间控制理论完成冷带轧机速度张力系统控制器的设计,有效兼顾了系统的收敛速度、超调量和稳态精度等指标,并实现了冷带轧机系统状态在固定时间内收敛;最后,通过仿真对比研究,验证本文所提方法有效提高了系统的动、静态性能,并削弱了不确定项对系统的影响.
Extended state observers-based fixed-time prescribed performance control for speed and tension system of cold strip rolling mill
Reversible cold strip rolling mills are the exclusive equipment to produce strip steel prod-ucts,and maintain its constant tension and ensure the steady-state accuracy of rolling speed are effec-tive means to solve the quality problem of strip steel shape and thickness.To improve the tracking control precision of the speed and tension system of cold strip rolling mill,a extended state observers(ESOs)-based fixed-time prescribed performance control method was proposed.The ESOs are con-structed to estimate the mismatched uncertainties of the system,and the observation values are intro-duced into the designed controllers for compensations,which improve the tracking control accuracy of the system effectively.The cold strip rolling mill speed and tension system controllers are designed based on prescribed performance function method and fixed-time control theory,which take into ac-count the indicators of the system such as the convergence rate,overshoot and steady-state accuracy effectively,and the system states can converge in fixed time.Finally,the simulation comparative study was carried out to verify that the proposed method can effectively improve the dynamic and static per-formance of the system,and reduce the influences of uncertainties on the system.

cold strip rolling millextended state observers(ESOs)prescribed performance controlfixed-time control

杨军、宋鸿斌、李清华、刘乐、方一鸣

展开 >

唐山惠唐物联科技有限公司,河北唐山 063000

燕山大学智能康复及神经调控河北省重点实验室,河北秦皇岛 066004

冷带轧机 扩张状态观测器 预设性能控制 固定时间控制

国家自然科学基金面上项目河北省创新能力提升计划

6187322622567619H

2024

冶金自动化
冶金自动化研究设计院

冶金自动化

影响因子:0.685
ISSN:1000-7059
年,卷(期):2024.48(1)
  • 16