摘要
本文首先阐述了采样周期对于网络控制系统性能的影响,然后针对多回路网络控制系统中,回路之间争抢网络资源,导致系统性能恶化的情况,在原有EDF调度算法的基础上,提出含有模糊调度器的多回路模糊动态调度算法。该算法根据系统中各回路的误差和误差变化率,利用模糊控制的方法实时调整各回路的优先级,从而实现对网络控制系统的调度。最后,利用TrueTime工具箱建立了包含模糊动态调度器的网络控制系统仿真模型,并将其与无调度器的网络控制系统进行对比。仿真结果表明,本文所设计的多回路模糊动态调度算法能够合理地安排各回路使用网络的先后顺序,具有较好的控制性能。
This paper describes the sampling period for the performance of networked control systems, then for the multi --loop NCS, competition between the loops of network resources, leading to deterioration of system performance, based on the original EDF scheduling algorithm based on the proposed fuzzy scheduler contains fuzzy multi-loop dynamic scheduling algorithm. The algorithm is based on the error and error rate of change of the system in each loop, using the method of fuzzy control, real-time adjustment of the priority of each loop, enabling network control system scheduling. Finally, the use of Truetime toolbox to establish a network control system simulation model contains fuzzy dynamic scheduler, and with no scheduler for networked control systems were compared. The simulation results show that the designed fuzzy multi-loop dynamic scheduling algorithm can reasonably arrange the order of each circuit using the network, with better control performance.
出处
《内蒙古石油化工》
CAS
2014年第24期91-96,共6页
Inner Mongolia Petrochemical Industry
关键词
网络控制系统
采样周期
调度
模糊控制
Networked control system
the sampling period
Scheduling
Fuzzy control