基于BP神经网络的中包车液压同步系统仿真分析  

Simulation and analysis of hydraulic synchronous system of medium sized charter car based on BP neural network

作　　者：白李浩 朱学彪[1] 戎雪飞 BAI Lihao;ZHU Xuebiao;RONG Xuefei(College of Machinery and Automation,Wuhan University of Science and Technology,Wuhan 430081,China)

机构地区：[1]武汉科技大学机械自动化学院,武汉430081

出　　处：《智能计算机与应用》2023年第11期155-160,共6页Intelligent Computer and Applications

摘　　要：中包车是连铸机的关键设备,中包车控制系统同步性优化对于施工人员的安全以及减少设备损失都具有至关重要的作用。对中包车液压原理进行分析,利用Matlab进行液压控制系统的稳定性分析,采用一种PID控制和BP神经网络结合的方法进行液压同步控制精度优化并进行了仿真分析,大幅提升了连铸机中包车液压同步控制系统的稳定性和精度,为实际工程应用提供了有力支持。The tundish is the key equipment of the continuous casting machine,and the synchronization optimization of the tundish control system plays a vital role in the safety of construction personnel and the reduction of equipment losses.The hydraulic principle of the tundish is analyzed,the stability of the hydraulic control system is analyzed using Matlab,and the hydraulic synchronization control accuracy is optimized using a combination of PID control and BP neural network.It greatly improves the stability and accuracy of the hydraulic synchronous control system of the ladle car in the continuous casting machine,and provides strong support for practical engineering applications.

关 键 词：BP神经网络 液压同步系统 中包车 MATLAB 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]