Design of a fuzzy controller for the deep drawing process by using GAs

摘要

Presents a genetic algorithm based approach to design a fuzzy control system for the deep drawing process. A fuzzy controller has been built up based on additive fuzzy set theory. Such a system has proved its ability to cope with the uncertainties characterising process conditions in the deep drawing operation. The knowledge base necessary to train the fuzzy controller has been obtained by finite element (FE) simulations of the process. Finally, the designed controller response has been tested proving its effectiveness.