Study on Error Compensation for Open CNC Cutting Machine Based on Neural Network

The major factors that contribute the working accuracy of flame cutting machine ard considered. By using the opening characteristic of software in open Computer Numerical Control (CNC) system, this paper gives a neural network method based on IGCAQBP learning algorithm to improve working accuracy. Error compensation unit based on neural network is designed and the applied error compensation function of open CNC is extended. The simulation result and the practical application indicate that this method is effective and stable.