Study on the Energy Saving of Mine Ventilator Based on Artificial Intelligence Control System

Radial Basis Function(RBF) is used to identify the model of mine ventilator, frequency control system is introduced to control the speed of ventilator, and traditional control strategy used PID is replaced by FNN. The MATLAB simuliation results show that the ventilator modeling by RBF neural network can better reflect its nonlinear characteristic, the speed of ventilator controlled by FNN changed with the gas's concentration. The paper take a mine of Shanxi for example to calculate the energy saving index, the result reveals it has produced not only direct economic benefit but also great social and environmental benefit.