Design and Implementation of Nonlinear Force Controllers for Friction Stir Welding Processes

Author:

Zhao Xin1,Kalya Prabhanjana2,Landers Robert G.2,Krishnamurthy K.2

Affiliation:

1. Cummins, HHP Diesel Electronic Controls, 2851 State Street, Columbus, IN 47201

2. Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, 1870 Miner Circle, Rolla, MO 65409-0050

Abstract

In friction stir welding (FSW) processes, force control can be used to achieve good welding quality. This paper presents the systematic design and implementation of FSW force controllers. The axial and path forces are modeled as nonlinear functions of the FSW process parameters (i.e., plunge depth, tool traverse rate, and tool rotation speed). Equipment models, which include communication delays, are constructed to relate the commanded and measured actuator signals. Based on the dynamic process and equipment models, nonlinear feedback controllers for the axial and path forces are designed using the polynomial pole placement technique. The controllers are implemented in a Smith predictor-corrector structure to compensate for the inherent equipment communication delays, and the controller parameters are tuned to achieve the best closed loop response possible given equipment limitations. In the axial force controller implementation, a constant axial force is maintained, even when gaps are encountered during the welding process. In the path force controller implementation, a constant path force is maintained, even in the presence of gaps, and wormhole generation during the welding process is eliminated by regulating the path force.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference17 articles.

1. Kalya, P. , 2007, “Modeling and Control of Friction Stir Welding,” Ph.D. thesis, University of Missouri–Rolla, Rolla, MO.

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3. Experimental Implementation of Neural Network Springback Control for Sheet Metal Forming;Viswanathan;ASME J. Eng. Mater. Technol.

4. Machining Process Monitoring and Control: The State-of-the-Art;Liang;ASME J. Manuf. Sci. Eng.

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