Robust Speed Control Algorithm of Welding Wire Feed System Based on the State Space Model

Abstract

In the modern welding technology of metal materials, the welding robot is a very important factor. And the welding wire feeding device is a very important part of the welding robot. The welding wire feed systems stabilization and reliability is essential for the welding quality. The resistance is caused by the draw of welding wire and other factors, which is highly nonlinear and stochastic. The wire feed rate and welding quality will be severely affected by the resistance. This paper investigates the method controlling the system according to the observations of the resistance, speed and other factors. There are the complex environmental factors in the welding process, such as the strong magnetic field and high current field, which are random. So the robust control algorithm based on the state space model is designed to keep the welding wire feed speed stable under disturbances. The robust control method can improve the speed of response and eliminate the effect of wire feed resistance to the wire feed speed. Even when disturbed, the system can quickly reach a stable wire feed speed.

An RBF neural network–based parameter tuning for an ADRC regulator of electrode wire feed mechanism: arc welding applications

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