Deadzone compensation in motion control systems using adaptive fuzzy logiccontrol

A deadzone compensator is designed for industrial positioning systems using a fuzzy logic (FL) controller. The FL approach is shown to subsume other a pproaches that use switching or indicator functions, The classification pro perty of FL systems makes them a natural candidate for the rejection of err ors induced by the deadzone, which has regions in which it behaves differen tly. A tuning algorithm is given for the FL parameters, so that the deadzon e compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. Formal nonlinear stability proofs are give n to show that the tracking error is small. The adaptive FL deadzone compen sator is implemented on an actual industrial CNC machine tool to show its e fficacy.