Fuzzy Control of a Closed-Die Hot-Forging Machine

Abstract

The development of a fuzzy control system for a closed-die hotgorging machine is described. Details of the input and output fuzzy variables and the fuzzy inference procedure are given. Results obtained using the fuzzy control system are presented. These demonstrate the ability of the system accurately to control the amount of energy delivered to the workpiece to keep it within narrow tolerances without overloading the die.

Research at the MEC

“…Generic knowledge arising from this research area includes novel types of recurrent and self-organising neural networks, genetic algorithms for small chromosome populations and fuzzy logic backward reasoning methods. [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] References [21] and [33] are monographs that both had to be reprinted immediately after first publication due to high demand. Reference [21] on neural control is now in its fourth printing without needing revision.…”