摘要
提出了一种基于变采样周期的动态调度策略,通过实时调整控制系统的采样周期以适应网络中信息流的变化,改善网络中时延、丢包等问题。采用动态调度策略的NCS为一个变采样周期系统,考虑时延的影响,通过等效变换将时延和采样周期的不确定性转化为系统参数的不确定性,从而将NCS建模为一类具有参数不确定性的离散时间系统,并给出了系统D-稳定的控制器设计方法,实现NCS的控制与调度协同设计。最后通过数值仿真验证了所提出的方法的有效性。
Network is the transmission channel for control data in NCS, so scheduling is the inevitable problem which should be taken into account. A dynamic scheduling strategy based on variable-period sampling was proposed. The sample periods of the control systems sharing network resource were adjusted online according to the current network running performance in order to reduce the probabilities of delay and data-packet dropout. The NCS scheduled by the dynamic scheduling method is a variable-period sampling system. By equivalent transformation, the NCS could be modeled as a discrete time system with parametrical uncertainties. Then a state-feedback controller was designed to guarantee D-stability of the NCS. Finally, simulation results show that this new variable-period sampling scheduling policy can achieve better performance and the modeling and control approach for variable-period sampling NCS are effective.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第8期2108-2114,共7页
Journal of System Simulation
基金
国家自然科学基金资助项目(60774030)
江南大学预研项目(103000-52210775)
关键词
网络控制系统
控制
调度
采样
协同设计
networked control system
control
schedule
sample
co-design
