In order to control the conveyance power of belt conveyor and make it match with the amount of carried coal,the control system of belt conveyor is designed according to the characteristics of underground production process in a mine in Shaanxi province.The adaptive speed control method based on APSO-T-S fuzzy neural network is proposed,and the mean current is taken as the target value of power control combined with PID control algorithm for multi-motor control,which ef-fectively improves the efficiency and energy saving effect of conveyor.According to the characteristics of belt conveyor in the mine,the hardware and software system of belt conveyor are upgraded.PLC as the hardware control core,the belt conveyor's centralized control and video surveillance and other functions are achieved.iFIX configuration software is applied to realize the functions of data collection and early warning.Field application shows that the system can improve the intelligent level of mine belt conveyor.The total transport volume and power consumption of the conveyor within 7 days before and after the transformation are calculated,and the energy-saving effect of the system is verified.The average power consumption of 1 × 104 t of coal is reduced from 25 520.0 kW·h to 20 117.8 kW·h,which can save 21.2％of electricity.
关键词
带式输送机/控制系统/模糊神经网络/多电机控制方法
Key words
belt conveyor/control system/fuzzy neural network/multi-motor control approach
维普
万方数据