To increase productivity, a new adaptive learning control system in milling processes has been developed. Based on proposed control system which consists of neural network dynamics model of the process and fuzzy feedback control module. The developed control system can reduce the machining time, protect the cutting tool, and increase the cutting efficiency. The main advantage of this approach is that the use of an adaptive learning control of milling processes does not require a priori knowledge about the servo-loops and the milling process dynamics.
B.03 Paper at an international scientific conference
COBISS.SI-ID: 13249046Paper describes the development of neural control system for load monitoring on machine tool. The description of making the system, simulator, controller simulations, searching for optimal parameters of controller and finally the experimental testing on machine tool follows.
B.03 Paper at an international scientific conference
COBISS.SI-ID: 13651478