Classical Vs. Intelligence Controller in Resistance Spot Welding System

Abstract

This paper is an attempt to accomplish a performance analysis of the classical (Proportional Integral) and intelligence(Artificial Neuro Fuzzy Inference System) control techniques on current spike reduction by means of magnetization level control in the primary winding on the medium recurrence transformer based DC spot welding framework. Cause for occurrence of spike in the primary winding of a transformer is unequal resistance between two secondary circuit’s of the transformer and different characteristics of rectifier diode. Which leads to the magnetic saturation in the form of spikes in the primary current of a transformer Consequently over current protection switch off. So, Current Spike decrease is a significant factor to be considered while spot welding frameworks are concerned. This can be used in automobile industry and it is a major issue in spot welding system. The present control strategy is a piecewise straight control system that is enlivened from the DC-DC converter control calculations to enlist a novel current spike decrease technique in the MFDC spot welding applications. The traditional and insight controllers were utilized for spike decrease in essential current of welding transformer so as to make the opposition spot welding framework to work easily. Current control techniques by the above mentioned controllers are evaluated in terms total harmonic distortion (THD), Percentage of current spike reduction, percentage ripple in welding current, rise time and settling time. Matlab/SimulinkTM software is carried out for the analyzing the classical and intelligence controllers and results are tabulated.