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The quality of a weld joint is adversely affected by disturbances and parameter variations that occur during the welding process. In order to improve weld quality several researchers have developed automated welding systems which regulate the puddle geometry. In the past such systems have been designed using PI or PID controllers with little or no effort being made to model the dynamics of the puddle...
This paper reports on the successful application of a pseudogradient adaptive algorithm for self-tuning a PI puddle width controller for consumable-electrode gas metal arc welding. The gradient of the output with respect to the controller parameters is approximated and used to form a steepest descent algorithm to minimize the squared output error. Experimental data confirming the algorithm performance...
The quality of a weld joint is adversely affected by disturbances and parameter variations that occur during the welding process. In order to improve weld quality several researchers have developed automated welding systems which regulate the puddle geometry. In the past such systems have been designed using PI or PID controllers with little or no effort being made to model the dynamics of the puddle...
This paper reports on the successful application of a pseudogradient adaptive algorithm for self-tuning a PI puddle width controller for consumable-electrode gas metal arc welding. The gradient of the output with respect to the controller parameters is approximated and used to form a steepest descent algorithm to minimize the squared output error. Experimental data confirming the algorithm performance...
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