i-manager Publications

Intelligent Control System For Resistance Spot Welding System

S. Rama Subbanna*, M. Rajini **

* Associate Professor, Department of Electrical and Electronics Engineering, Sasi Institute of Technology & Engineering, Tadepalligudem, Andhra Pradesh, India.

** Lecturer, Department of Computer Science, SCIM Government Degree and P.G. College, Tanuku, Andhra Pradesh, India.

Periodicity:August - October'2018
DOI : https://doi.org/10.26634/jic.6.4.15366

Abstract

This paper is an attempt to accomplish a performance analysis of the different control techniques on current spike reduction by means of magnetization level control in the primary winding on the medium frequency transformer based DC spot welding system. Current Spike reduction is an important factor to be considered while spot welding systems are concerned. The current control technique is a piecewise linear control technique that is inspired from the DC-DC converter control algorithms to register a novel current spike reduction method in the MFDC spot welding applications. The different controllers that were used for the current spike reduction by means of magnetization level control of the overall applications involve the hysteresis controller, Proportional Integral (PI) controller. Care is taken such that the current control technique would maintain a reduced current spike in the primary current of the transformer while it reduces the Total Harmonic Distortion. In this research, intelligent control system is introduced by using Adaptive Neuro Fuzzy Inference System (ANFIS). The performance of ANFIS controller is presented considering the parameters, percentage of current spike reduction, and THD. It is proved that current spikes are controlled successfully and has less THD than the above mentioned conventional controllers. Matlab/Simulink^TM based simulation is carried out for the MFDC with 220 KVA welding transformer in resistance spot welding systems.

Keywords

Resistance Spot Welding, Core Saturation, Current Control, Welding Transformer, Adaptive Neuro Fuzzy Inference System.

How to Cite this Article?

Subbanna, R. S., & Rajini, M. (2018). Intelligent Control System For Resistance Spot Welding System. i-manager's Journal on Instrumentation and Control Engineering, 6(4), 35-41. https://doi.org/10.26634/jic.6.4.15366

References

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Intelligent Control System For Resistance Spot Welding System

Abstract

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