Active Speed Control of Belt Conveyor with Variable Speed Interval Based on Fuzzy Algorithm

Aiming at the problems of too fast adjustment frequency, unstable material filling rate and fluctuation of material flow at the boundary of speed interval caused by unreasonable setting of speed interval in traditional active speed control strategy based on hierarchical speed regulation. An active speed control strategy based on fuzzy algorithm is proposed for belt conveyor. The material filling rate of the belt is taken as input, and the double-layer fuzzy boundary is set according to the expected value of the material filling rate to adjust the speed of the belt conveyor. The adjustment time of different speed intervals is given according to the estimation-calculation-optimization method. The simulation results of the double belt conveyor system show that compared with the active speed control strategy based on hierarchical speed regulation, the active speed control strategy can not only stabilize the material filling rate of the downstream belt conveyor near the expected value and improve the stability of transportation, but also reduce the energy by about 20.69% per hour on average. The subsequent experimental results also verify the effectiveness of the proposed active speed control strategy, which can achieve more sustainable operation of the belt conveyor.