摘要
针对目前超薄非晶合金生产过程中存在的厚度不均匀问题,提出一种超薄非晶合金厚度的多模态模糊仿人智能纠偏策略。首先,对生产现场数据进行分析,利用厚度偏差信息对厚度变化趋势进行划分;然后,根据现场专家在不同厚度变化情况下对过渡包内压力和温度设定值的调整经验,设计了包括继电(bang-bang)、模糊、补偿、保持模态的多模态模糊仿人智能纠偏策略;最后,利用改进粒子群优化算法优化的广义回归神经网络建立超薄非晶合金厚度回归模型,用于厚度纠偏策略的仿真研究。仿真结果表明,多模态模糊仿人智能纠偏策略可以使厚度偏差稳定在±1μm内,避免产生厚度不均匀问题,并具有较强的抗干扰能力。
To solve the problem of uneven thickness existing in the current production process of ultra-thin amorphous alloy,a multi-mode fuzzy human-simulated intelligent correction strategy is proposed.Firstly,the production site data is analyzed,and the thickness variation trend is divided by using thickness deviation information.Then,based on the experience of on-site experts in adjusting the pressure and temperature settings of the transition packet under different thickness variations,the multi-mode fuzzy human-simulated intelligent correction strategy is designed,including bang-bang,fuzzy,compensation,and maintain modes.Finally,the generalized regression neural network optimized by the improved particle swarm optimization algorithm is used to establish the thickness regression model of ultra-thin amorphous alloy for the simulation study of the thickness correction strategy.The simulation results show that the multi-mode fuzzy human-simulated intelligent correction strategy can stabilize the thickness deviation within±1μm,avoid the problem of uneven thickness,and has strong anti-interference ability.
作者
郭振
田建艳
李博
菅垄
李志恩
GUO Zhen;TIAN Jianyan;LI Bo;JIAN Long;LI Zhien(College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan 030024,China;Taiyuan Iron&Steel(Group)Electric Co.,Ltd.,Taiyuan 030023,China)
出处
《控制工程》
北大核心
2025年第7期1278-1289,共12页
Control Engineering of China
基金
山西省重点研发计划项目(201903D121062)。
关键词
超薄非晶合金
厚度
多模态控制
仿人智能控制
模糊控制
Ultra-thin amorphous alloy
thickness
multi-mode control
human-simulated intelligent control
fuzzy control
