Research on Recursive Variable Sampling Period Scheduling Algorithm Based on Two-parameter Priority

doi:10.16182/j.issn1004731x.joss.19-0079

Abstract

Abstract: A recursive variable sampling periodic dynamic scheduling algorithm based on two-parameter priority is proposed for the resource-constrained network control system. The network demand degree and network urgency double parameter of the control loop are calculated, and the two-parameter weight is established by the two-square root mapping function which is created by the absolute value of the control loop error to realize the scheduling of the sensor priority. The comprehensive analysis of the control loop performance recursively adjusts the sampling period of each control loop, and completes the scheduling adjustment under the premise of ensuring the stability of the control system. Simulations show that the scheduling algorithm improves the control quality of the network control system.

Key words: network control system, two-parameter, priority, recursive variable sampling period

CLC Number:

TP273

Shi Weiguo, Xu Chao, Wang Xun, Wang Xiangtai. Research on Recursive Variable Sampling Period Scheduling Algorithm Based on Two-parameter Priority[J]. Journal of System Simulation, 2020, 32(9): 1711-1716.

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