Abstract
For the networked control system with limited bandwidth and flexible workload, a dynamic intelligent feedback scheduling strategy is proposed. Firstly, a monitor is used to acquire the current available network bandwidth. Then, the new available bandwidth in the next interval is predicted by using LS_SVM approach. At the same time, the dynamic performance indices of all control loops are obtained with a two-dimensional fuzzy logic modulator. Finally, the predicted network bandwidth is dynamically allocated by the bandwidth manager and the priority allocator in terms of the loops' dynamic performance indices. Simulation results show that the sampling periods and priorities of control loops are adjusted timely according to the network workload condition and the dynamic performance of control loops, which make the system running in the optimal state all the time.
Highlights
Networked control systems (NCSs) have been widely used in numerous fields, the available network bandwidth resources of many control network applications are often limited due to economic or technical and other reasons [1]
When the networked control systems (NCSs) with limited bandwidth is running in a workload flexible network environment, the overall control performance of the system depends on the design of control algorithm, and depends on the scheduling and allocation of the available network bandwidth resources
It can be seen that under the network environment with limited bandwidth and flexible workload, the system has always remained stable through dynamically adjusting the sampling period and priority of each control loop, and the overall control performance of the system obtained by the proposed scheduling algorithm in this work is superior to EDFA
Summary
Networked control systems (NCSs) have been widely used in numerous fields, the available network bandwidth resources of many control network applications are often limited due to economic or technical and other reasons [1]. The static scheduling strategies are traditionally employed as bandwidth scheduling techniques, as reported in [9,10,11,12] and the references therein These bandwidth scheduling strategies allocated a fixed bandwidth to each control loop, allowing them to satisfy specified control performance requirements, and often work well in a given network environment. In [16], a network monitor was introduced to obtain the current network bandwidth and network-induced transfer error; subsequently, the sampling period of each control loop was dynamically regulated in terms of the estimated available network resources and network-induced error These dynamic scheduling strategies work well only in a known workload.
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