부산대학교 도서관

The article presents the application of Mamdani Fuzzy Logic Inference System to optimize the operation of a Computerized Numerical Control (CNC) machine for given dynamic parameters. These parameters are maximum speed, acceleration and JERK. The JERK parameter determines the rate of change of acceleration. The parameters are defined for each working axis of the machine. In order to check the correctness of the solution proposed in the paper, the learning and testing process was conducted on specially designed database including different trajectories generated for machining with different machine dynamics parameters. The approach presented in the paper using elements of fuzzy logic to optimize the operation of the CNC machine proved to be very good. The authors, in cooperation with industry, will develop the aforementioned solution leading to implementations and further scientific publications.