摘要
为实现液压弯辊板形控制系统的精确控制,设计了一种基于遗传算法优化的云模型PID控制器,该算法将云模型处理不确定性问题的优势和PID控制的良好稳定性相结合,并且运用遗传算法全局优化能力对云模型PID控制器的数字特征进行了优化,进一步改进了云模型PID控制器的控制效果。以某公司1220 mm液压弯辊板形控制系统作为仿真对象进行了仿真,结果表明,基于遗传算法优化的云模型PID控制对提高液压系统的油压动态响应速度和稳态跟踪精度十分有效,其控制效果优于无优化的云模型PID控制以及传统PID控制。
To realize the precise control of hydraulic bending roll flatness control system,a cloud model PID controller based on genetic algorithm optimization was designed. The algorithm combines the advantages of cloud model in dealing with uncertainty problems and the good stability of PID control,and the global optimization ability of genetic algorithm was used to optimize the digital characteristics of cloud model PID controller. The control effect of cloud model PID controller is further improved. The simulation of 1220 mm hydraulic bending roll flatness control system of a company was carried out. The results show that the cloud model PID control based on genetic algorithm optimization is very effective to improve the dynamic response speed and steady-state tracking accuracy of hydraulic system,and its control effect is better than that of the cloud model PID control without optimization and the traditional PID control.
作者
白涛
BAI Tao(Department of Student Affairs,Chengde Petroleum College,Chengde 067000,China)
出处
《塑性工程学报》
CAS
CSCD
北大核心
2021年第4期206-211,共6页
Journal of Plasticity Engineering
关键词
液压弯辊
板形控制
遗传算法
云模型
PID控制
hydraulic bending roll
flatness control
genetic alogorithm
cloud model
PID control
作者简介
第一作者/通信作者:白涛,男,1987年生,硕士研究生,讲师,主要从事板带轧制过程人工智能优化控制研究,E-mail:343850853@qq.com。
