Fuzzy feedback network scheduling and control for multi-motor NMCS

The networked motion control system (NMCS), has been more and more applied for integrated manufacturing in industrial enterprise, such as numerical control equipments, industrial robots, and other manufacturing equipments. It is necessary to apply appropriate network scheduling and control strategy to reduce the bad influence from conflict of network data transmission on the performance of motion control system. The situation get seriously especially for multi-motor NMCS. This paper focuses on applying the dynamic network scheduling on the network application layer for multi-motor NMCS. According to ideas of priority, a kind of feedback fuzzy network dynamic scheduling strategy is proposed to allocate the priority of data transmission for each speed closed loop control system. The design of the fuzzy feedback network dynamic scheduler based on the speed error and its rate is presented. In order to realize collaborative design of network schedule and control, an adaptive fuzzy PID controller is design to play a role of the controller of each speed closed loop control system. The simulation model of NMCS with three motors is established using TrueTime software. The related simulation research and analysis is presented. The simulation results show that the proposed method can achieve quick adjustment to system, effective improve global control performance of NMCS.