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research-article

Control of Droplet Detachment Frequency in a GMAW Process by a Hybrid Model Predictive Control

[+] Author and Article Information
Hossein Sartipizadeh

Advanced Control System Lab, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran; PostDoctoral Research Associate, Department of Aerospace Engineering and Engineering Mechanics, University of Texas at Austin, Austin, Texas 78712
hsartipi@utexas.edu

Mohammad Haeri

Professor, Department of Electrical Engineering, Sharif University of Technology, Azadi Ave. 14584, P.O. Box 11155-4363, Tehran, Iran
haeri@sina.sharif.edu

1Corresponding author.

ASME doi:10.1115/1.4040251 History: Received May 31, 2017; Revised May 09, 2018

Abstract

Efficient control of a gas metal arc welding process enables one to obtain high quality products as a consequence of achieving a high quality weld. Although control of the droplet detachment frequency in the welding process would play a great role in improving the welding quality, measuring the signal is difficult and expensive. In this paper, we attempt to control the frequency of droplet detachments without directly measuring it. To that end, we utilize the hybrid property of the GMAW process during the droplet detachment. Specifically, a mixed logical dynamical model is obtained by considering the hybrid act of the process during droplet detachment. Then, a nonlinear model predictive controller is designed incorporating the hybrid behavior of the process. The controller regulates the droplet detachment frequency without measuring this variable directly. Computer simulation results show that the proposed controller leads to a higher quality weld compared to the present approaches.

Copyright (c) 2018 by ASME
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