摘要
为兼顾系统控制质量和网络服务质量,针对网络化运动控制系统(networked motion control system,NMCS),提出一种基于最大误差优先级(maximum error first,MEF)网络调度与自适应模糊控制的协同设计方法,给出MEF调度器和自适应模糊控制器的设计方案;对NMCS进行仿真建模,从稳定性和动态性能方面与无调度器固定PID控制方法进行仿真对比。结果表明,所提出的设计方法可以使NMCS具有更好的动态跟随性能和抗扰性能。
In order to improve the quality of system control and the quality of network service, for networked motion control systems, a method of collaborative design based on the network scheduling of maximum error priority and the adaptive fuzzy control was put forward. The scheduler of maximum error priority and the adaptive fuzzy controller were designed. Simulation modeling of networked motion control systems was set up. From the aspects of indicators of stable and dynamic performance, by comparing the proposed design method with the fixed control method without the scheduler. The result show that the proposed design method can effectively make networked motion control systems have a better dynamic performance of following and disturbance rejection.
作者
孙壬泉
何芳
SUN Renquan HE Fang(School of Electrical Engineering, University of Jinan, Jinan 250022, Chin)
出处
《济南大学学报(自然科学版)》
CAS
北大核心
2016年第5期397-402,共6页
Journal of University of Jinan(Science and Technology)
基金
国家自然科学基金(61473134)
关键词
运动控制系统
最大误差优先
自适应模糊控制
协同设计
motion control system
maximum error priority
adaptive fuzzy control
collaborative design