Priority Scheduling of Networked Control System Based on Fuzzy Controller with Self-tuning Scale Factor

摘要

A scheduling algorithm based on fuzzy controller with self-tuning scale factor for networked control system with resource constraints is proposed in this paper. The scheduling algorithm comprehensively considers output error and output error change rate of each control loop in the system. The fuzzy rules are memorized and realized by BP neural network. In order to improve the system ability of restraining the change of the external disturbance, this paper adopts the method of online self-tuning scale factor. The output scale factor is online tuned by the system running state. The priority of each control loop can be adjusted dynamically by the fuzzy controller with self-tuning scale factor. The priority of each control loop can meet the real-time requirement of the system. The simulation model is built based on True time toolbox. Compared with EDF and fuzzy feedback scheduling algorithm, the simulation results show that the proposed scheduling algorithm in this paper can improve the system output control performance, decrease the data transmission delay and integral absolute error value of the control loops, reduce the conflict of data transmission and network utilization. The overall control performance of the system is optimized. The priority scheduling algorithm in this paper is effective.