摘要

The welding process essentially is a complicated nonlinear system with time-varying, uncertain, strong-coupling characteristics, so it is difficult to get high welding quality by traditional control approaches such as the standard proportional-integral (PI) algorithm. A new algorithm based on artificial neural network (ANN) is presented to achieve optimal PI parameters and improve its adaptability. First, main parameters of artificial neural network are researched to improve the convergence rate and system stability. Then, six expert rules are proposed to constitute the expert adaptive ANN-PI algorithm. Experimental results show that the welding current control system has high dynamic response rate, and the welding process is stable.

  • 出版日期2014

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