Self-tuning fuzzy-controller for process control in internal grinding

Abstract

Adaptive process control contributes considerably to an increase of efficiency in internal grinding. To be mentioned are the reduction of production time, the improved quality of the workpiece and the increased process reliability. Up to now, the necessary controlling was done with conventional digital closed-loop controllers. In recent investigations a fuzzy-controller has been employed. An essential problem of fuzzy-controllers is the time consuming and subjective adjustment of a large number of design parameters. Here an objective method which uses neural and other intelligent technologies is presented. It also minimizes the manual time effort for the controller design. Thus particularly parametrization of the membership functions and the generation of the production rules could be automated.