摘要
针对起重机的自动化同步控制技术,本文设计了神经网络PID交叉耦合同步控制系统,并采用MATLAB进行了仿真分析。结果表明,神经网络PID双反馈控制系统可大幅提高起重机受到干扰时的同步控制调节时间及调节效果。
Aiming at the automatic synchronous control technology of crane,this paper designs the neural network PID crosscoupling synchronous control system,and the simulation analysis is carried out by MATLAB.The results show that the neural network PID double feedback control system can greatly improve the synchronous control adjustment time and adjustment effect when the crane is subjected to interference.
作者
武铁彬
WU Tiebin(Meiyukou Mine,Jinneng Holding Coal Industry Group,Datong,Shanxi 037001,China)
出处
《自动化应用》
2023年第22期87-88,91,共3页
Automation Application
关键词
防爆起重机
同步控制
神经网络
explosion-proof crane
synchronous control
neural network