Research on the Control Method of Coal Sample Blanking Based on the BP Neural Network and the PID Algorithm

Due to the uneven blanking and time-variation characteristics of the coal sample blanking control system, traditional PID algorithm can hardly obtain good performance. A control method of coal sample blanking based on the BP neural network and the PID algorithm is proposed. This method combines the BP neural network and the PID algorithm. Environmental parameters and the number of vibration of coal sample bottle were taken as the input of the BP neural network. Experimental results show that the controller combined with the BP neural network and the PID algorithm has better control characteristics than traditional PID controller. The amount of coal sample dropped is even, and the experiment completion time is more stable.