Using genetic algorithms and fuzzy control for spindle of CNC machine tool

A combined.PD and hierarchical fuzzy control is proposed for the low-speed control of the C-axis of CNC machine tool considering the effects of transmission flexibility and complex nonlinear friction. Learning of the hierarchical structure and parameters of the suggested control strategy is carried out by using the genetic algorithms. The proposed approach is validated by the computer simulation. In the simulations, the C-axis is assumed to be driven by a vectorcontrolled AC induction motor, and the dynamic friction model suggested by Canudas de Wit et al. is used[ l0].