CAJ | 학술논문

本文主要围绕莱钢4300mm宽厚板轧机厚度控制过程进行研究。在此过程中给出弹跳曲线的测量过程，并使用神经元网络对弹跳曲线进行拟合，最终给出适应现场的弹跳曲线模型。同时给出辊缝零点自学习的实现，并对自学习功能进行优化和完善。
본문주요위요래강4300mm관후판알궤후도공제과정진행연구。재차과정중급출탄도곡선적측량과정，병사용신경원망락대탄도곡선진행의합，최종급출괄응현장적탄도곡선모형。동시급출곤봉영점자학습적실현，병대자학습공능진행우화화완선。
This article focused on the thickness control research for 4300mm wide plate mill of LaiWu Steel Company. During this article stretch-curve measurement procedure are given. Then use the neural network model to ift the curve basing the measured values, ultimately gives the stretch-curve model to adapt to the scene on site. At the same time, provide implementation of the zero point of the roll gap self-adaptation, also optimize it.