Publication Type : Journal Article
Publisher : Robotics and Computer-Integrated Manufacturing
Source : Robotics and Computer-Integrated Manufacturing, 53 (2018), 122-134
Url : https://www.sciencedirect.com/science/article/abs/pii/S0736584517304519
Campus : Chennai
School : School of Engineering
Department : Mechanical Engineering
Year : 2018
Abstract : In this paper, an adaptive control scheme is employed for joining Aluminium 6061 alloy sheets by Cold Metal Transfer (CMT) process. The transfer function model of the CMT welding system is derived using empirical equations. The CMT plant transfer function is estimated using system identification technique. For the estimated plant model, a conventional PID controller is initially designed by tuning the controller parameters. The designed control system is tested for its ability to control the welding current when short circuit phase and arcing phase are detected. Following the conventional PID controller, a Model Reference Adaptive Controller is implemented to maintain the welding current at desired range during melting and electrode wire short circuiting. The performance analysis for the proposed adaptive control scheme and the conventional PID controller is compared. The simulation results indicate that the conventional PID controller is unable to retrieve the desired current during short circuit phase and arcing phase. Nevertheless, the proposed MRAC for CMT process successfully maintains the welding current at the setpoint when subjected to arcing phases and short circuit respectively, while ensuring arc stability. The experimental validation is carried out in the CMT welding set up using the designed MRAC. The experimental results emphasize that the MRAC improves the welding performance by yielding good weld joints swiftly and enhanced quality besides minimizing the design complexities
Cite this Research Publication : Rahul, S. G., G. Dhivyasri, P. Kavitha, S. Arungalai Vendan, KA Ramesh Kumar, Akhil Garg, and Liang Gao, “Model reference adaptive controller for enhancing depth of penetration and bead width during Cold Metal Transfer joining process”, Robotics and Computer-Integrated Manufacturing, 53 (2018), 122-134