摘要
针对埋件钢筋热镦机在不确定性和噪声干扰下的稳定运行需求,设计了一种自动化控制系统。该系统通过位置与温度传感器采集实时运行状态数据,利用微处理器和现场可编程门阵列实现数据的预处理,并结合模糊PID控制算法计算出自动化控制量。实验结果表明,该系统能有效控制加热温度和钢筋位置,使二者迅速达到预设值。在噪声干扰条件下,系统仍能保持顶镦杆速度和砧子速度的稳定,并实现了顶镦杆速度和砧子速度不同程度的精度提升,显著提高了埋件钢筋的加工质量。
An automated control system has been designed to meet the stable operation requirements of embedded steel bar hot upsetting machines under uncertainty and noise interference.The system collects real⁃time operating status data through position and temperature sensors,preprocesses the data using microprocessors and field programmable gate arrays,and combines fuzzy PID control algorithm to calculate the automation control quantity.The experiment shows that the system can effectively control the heating temperature and the position of the steel bars,enabling them to quickly reach the preset values.Under the condition of noise interference,the system can still maintain the stability and achieved varying degrees of improvement in the speed of the top heading rod speed and anvil speed,significantly improving the processing quality of embedded steel bars.
作者
徐运波
XU Yunbo(China Nuclear Industry Huaxing Construction Co.,Ltd.,Nanjing 210000,China)
出处
《电子设计工程》
2024年第17期88-92,97,共6页
Electronic Design Engineering
关键词
埋件钢筋
热镦机
自动化
控制系统
可编程逻辑
模糊PID
embedded steel bar
hot upsetting machine
automation
control system
programmable logic
fuzzy PID