摘要
设计了采用RBF神经网络控制的伺服纠偏控制系统,通过建立其动力学模型,运用MATLAB/Simulink仿真软件仿真,并进行实验验证,分析系统动态性能,得到响应曲线。结果表明,在拉纸速度65 mm/s下,跑偏量从1.5 mm降低到0.55 mm,该伺服系统位移和速度跟踪误差均较小。
The servo correction control system was designed with RBF neural network through the establishment of its dynamic model.Using MATLAB/Simulink simulation software to simulate,and combining with experimental verification,the dynamic performance of the system was analyzed to obtain the response curve.The results showed that the deviation was reduced from 1.5 mm to 0.55 mm at the paper pulling speed of 65 mm/s,and the displacement and speed tracking error were small.
作者
张继红
ZHANG Jihong(School of Intelligent Manufacturing,Sichuan Vocational and Technical College,Suining,Sichuan Province,629000)
出处
《中国造纸学报》
CAS
CSCD
北大核心
2024年第1期107-113,共7页
Transactions of China Pulp and Paper
基金
四川省教育厅自然科学科研项目(21ZA0347)。
作者简介
张继红,副教授,主要从事智能机电系统动力学与控制研究。E-mail:867944875@qq.com。
