Abstract
According to the characteristics of electrical haulage shearer in the process of coal mining and the basic principle of cutting constant power speed-adjusting of electrical haulage shearer, taking the traction motor as the controlled object, and cutting constant power speed-adjusting control method of electrical haulage shearer based on RBF neural network PID control is proposed. Adaptive control method to achieve the electrical haulage shearer constant power speed-adjusting and high precision control. At the same time, improve the efficiency of coal mining, to ensure the safety of the shearer. The modeling and simulation analysis of the cutting constant power speed-adjusting control system of electrical haulage Shearer are carried out by Matlab/Simulink, and the system through the field experiment and the comparative analysis with traditional fuzzy PID control. The results show that the system based on RBF neural network PID control has stronger anti-interference ability, higher control precision, faster response time, stronger practicability and stability.
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