Study in GTAW of fuzzy neural controller based genetic algorithm

GTAW is that controls linear energy easily and has high quality welding of sheet metal.It is difficult to realize real time and effective control.Welding process is a strong nonlinear system of complexity and multi-parameter.Fuzzy control has characteristic of human experiential thought.Neural network is of self-control and self-study for information.The genetic algorithm is a new method of global optimal searching that has character of simpleness,catholicity,parallel processing and wide application.This paper designs a new fuzzy controller harmonizing using three methods' advantages.The result of simulation in pulsed GTAW indicates the new fuzzy neural controller is better than traditional fuzzy controller.