Design of intelligent speed control system for belt conveyors based on fuzzy control
The mining belt conveyor is usually difficult to reach the full load state during operation.The constant speed operation mode of the traditional control system is easy to cause the conveyor to maintain high speed operation for a long time under light load or even without load,which increases the energy consumption of the conveyor and reduces the mechanical life of the equipment.Aiming at the above shortcomings of the control system of belt conveyors,the intelligent speed control system of the belt conveyor was proposed.Based on the BP neural network,the system established the mapping model between the power consumption of the conveyor,the coal flow rate,and the speed of the conveyor belt.The fuzzy controller was used to realize the intelligent energy-saving control of the frequency control of the conveyor.At the same time,the WinCC configuration software was used to design the monitoring interface of the host computer.The intelligent speed control system had the functions of remote frequency control,real-time monitoring of running state and data archiving and query of the conveyor,which could effectively reduce the running energy consumption of the conveyor and prolong the running life of the equipment.
belt conveyorenergy-saving optimizationBP neural networkfuzzy control
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