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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。
A dynamic scheduling strategy based on variable sampling period is proposed. By adjusting the sampling period of the control system in real time to adapt to the information flow changes in the network, the problem of delay and packet loss in the network is improved. NCS with dynamic scheduling strategy is a variable sampling periodic system. Considering the influence of delay, the NCS is modeled as a class by converting the uncertainty of delay and sampling period to the uncertainty of system parameters through equivalent transformation A discrete time system with parameter uncertainty and a system D-stable controller design method are presented to realize the coordinated design of NCS control and scheduling. Finally, the effectiveness of the proposed method is verified by numerical simulation.