摘要
针对工作台在快速进给过程中存在的超调现象,考虑负载对位置伺服系统的影响,提出了工作台神经网络控制策略。设计了工作台的机械结构并建立了数学模型,对位置伺服系统设计了神经网络控制器,并且采用了摩擦补偿。进行了神经网络的MATLAB仿真研究,结果表明该方法有效地抑制了工作台在快速进给过程中的超调现象,实现了位置的精确控制,验证了控制策略具有较好的鲁棒性。
In view of the overshoot phenomenon of the workbench during the rapid traverse process,considering the influence of load on the position servo system,the neural network control strategy of the workbench is proposed.The mechanical structure of the workbench is designed and a mathematical model is established.The neural network controller is designed for the position servo system,and friction compensation is adopted.The MATLAB simulation of neural network is carried out.The results show that the method effectively suppresses the overshoot of the workbench during the rapid feed process and realizes the precise control of the position.It proves that the control strategy has better robustness.
作者
郭北涛
王振博
李艳蕊
GUO Beitao;WANG Zhenbo;LI Yanrui(School of Mechanical Engineering,Shenyang University of Chemical Technology,Shenyang110142,China)
出处
《机械工程师》
2018年第9期39-41,共3页
Mechanical Engineer
基金
沈阳市科技计划项目(F-16-228-6-00)
关键词
工作台
神经网络
伺服控制
摩擦补偿
workbench
neural network
servo control
friction compensation
