Application of RBF hierarchical neural network in automatic horizon control system of memory-cutting shearer

The control of hydraulic servo system is the control key to automatic horizon device of memory-cutting shear. The radial basis function (RBF) hierarchical neural network (RBFHNN) is presented to control the hydraulic servo system of automatic horizon device of memory-cutting shearer. The RBFHNN can identify the sensitivity of the hydraulic servo system in real time in the learning phase, and can make the hydraulic horizon device rapidly track the roof curve of the last cycle as feed-forward controller in the control phase. The simulation results for the hydraulic servo system of shearer horizon device show the control system based on the RBFHNN is faster, and has higher accuracy and better stability.