Joint Modeling of a Fuzzy Two-Connected Longitudinal Turning Control System in MSC. Adams and Matlab

Abstract

Purpose of research. The article considers the possibility of developing and modeling a fuzzy bipartite control system of the turning process based on the joint application of the program for creating virtual models MSC.Adams and mathematical analysis package Matlab. The relevance of the research topic is related to the trend of application of artificial intelligence functions in domestic and foreign machine tool industry for compensation of temperature deformations, force and vibration disturbances, tool condition monitoring, adaptive control taking into account the actual state of the cutting process in real time. In designing new control systems of the turning process, an important task is to create mathematical and virtual models and synthesis of intelligent control algorithms, providing solutions to problems under conditions of uncertain perturbations.Methods. For the development of the mathematical model and its analysis basics of the theory of fuzzy sets in the problems of control, theory of metalworking, methods of mathematical modeling of control systems have been applied. The synthesis of fuzzy controller and virtual model have been developed with the help of modern applied software packages Matlab and MSC.Adams.Results. The fuzzy cutting control algorithm and its implementation in the Simulink environment with the data transfer to MSC.Adams, as well as the virtual prototype of the lathe in MSC.Adams are presented in the article. Graphs of the vibration movements of the cutting edge of the tool, changes in temperature and cutting force are given and analyzed.Conclusion. The results of model testing show that the use of joint modeling of fuzzy two-connected turning control system is possible to solve the problem of improving the efficiency of machining on the operating equipment under the influence of uncertain disturbances.