An intelligent control strategy for plasma arc cutting technology

Adopting digital inverted plasma arc cutting power as a platform and focusing on its strong nonlinearity and time-varying property, this paper puts forward a variable interval fuzzy-PI quantification algorithm with a self-adjustable factor in the full domain. The introduction of the PID neural network is for decoupling parameter variables in the multi-parameter coupling cutting process. This algorithm reduces the complex nonlinear system modeling and realizes real-time and effective online control for the cutting process by combining the advantages of fuzzy control and PID neural network control. Furthermore, the optimized fuzzy control improves the steady-state precision and the dynamic performance of the system simultaneously. The experimental result shows that this control improves the precision, ripples, finish and other comprehensive indexes of the workpiece compared with conventional PI control, and the plasma arc cutting power supply based on the fuzzy-neural network has excellent control performance.