A Simulink comparable design method of milling machining control model

Because of time-varying, nonlinearity and complexity of the machining process, the traditional PID control has been unable to meet the requirements, which are being high-speed and high-precision. However fuzzy control can be a good solution for this kind of control system. This paper aims to create a milling control process using the Simulink modeling method, which use the logic of cutting process as a mathematical terms indicates areal milling machining equations, and give it appropriate processing parameters. To ensure that the simulating results are comparable, first the process will be modelled in the MATLAB software to test the step response under various parameters. Hence, the model is correct and comparable, fuzzy controller look-up table method will added to the model to check the accuracy axial cutting depth efficiency of milling machining work-piece with three value depth of cut.