ADAPTIVE FUZZY SLIDING CONTROL DESIGN FOR THE AXIS SYSTEM WITH DYNAMIC MULTIPLE KINDS OF NONLINEARITIES AND UNCERTAINTIES

摘要

This paper presents a method for solving the overshooting and vibrating problems of axis controller aroused by multi-nonlinearity and uncertainty, such as backlash and deadzone, exiting in the motion process of CNC (computer numerical controller) system, so as to maximize the speed and the accuracy of the axis. The basic idea of the proposed axis control method is to combine two advanced technologies, sliding control and fuzzy control, for the design of an adaptive fuzzy sliding logic controller with parameter adaptive performances. The asymptotical stability of adaptive fuzzy sliding logic control systems was proved based on Lyapunov theory. Compared with the fuzzy sliding controller, the application in the open architecture LT-NC220 suggests that the proposed adaptive fuzzy sliding logic controller can maximize the execution speed and minimize the steady state-error of the CNC system, especially when there are dynamic multiple kinds of nonlinearities and uncertainties.