Analytical method of designing a comparable milling machine model based on Matlab/Simulink

Abstract

Abstract. 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, an advanced control methods can be a good solution for this kind of control system, a prefect simulation results depends on the accuracy of the modeling process, such models can be used to develop more precise and formalized description of process activities, on modeling process, and now a days a lot of software had been used do this issue. This paper aims to create a milling machine process model 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 the simulating results are comparable, the step response method will be used as good indicator to compare the Model process, using Matlab analysis, first the process will be modelled in the Matlab software to test the step response under various parameters and then compare the results.

A virtual educational model on a CNC milling machine including and excluding two methods of fuzzy controllers

“…Further improvements were made using experimental approaches to characterize the CNC milling machine system model through the step-response analysis. Moreover, we used a linear discrete process machining model and a nonlinear process model to investigate and compare the experimental cutting parameters and establish and improve the CNC milling machine (Osman and Zhu, 2017a). To further improve the model, we introduced a look-up table (Osman and Zhu, 2017c) and Mamdani fuzzy controller (Osman and Zhu, 2017b).…”