Research on the Control System of Multi-Axis Welding Robot Based on Variable Gain PID

Ke Kuan Wang; Ming Zhu Liu; Bing Jie Zhao; Bin Long

doi:10.4028/www.scientific.net/AMR.466-467.784

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467Research on the Control System of Multi-Axis...

Research on the Control System of Multi-Axis Welding Robot Based on Variable Gain PID

Abstract:

According to the requirement of operational stability and reliability of welding robot, the direct and inverse kinematics models of three-axis linkage welding robot were analyzed. Based on the analysis result, variable gain PID control scheme was designed, and the control system model was built. The control scheme was checked and assessed using MATLAB analysis box. Analysis results show that control system satisfies the demands of welding robot running stability and reliability in ideal status, and the research has laid foundation for the further research.

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Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

784-788

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.784

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Online since:

February 2012

Authors:

Ke Kuan Wang, Ming Zhu Liu, Bing Jie Zhao, Bin Long

Keywords:

Assess, Control System, Variable Gain PID, Welding Robot

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References

[1] Vinceni, T. L, in: Waveform control in welding Power supplies, edtied by Control Systems Magazine, IEEE., Vol. 26(2006), p.17–18.

Google Scholar

[2] LiuL. J, GaoH. M, Zhang GG, WU L, in: Investigation on Human-Simulation Intelligent Control of the Touch Force in Remote Welding Teleteaching, edtied by Innovative Computing, Information and Control, Vol. 30(2006), p.85–88.

DOI: 10.1109/icicic.2006.106

Google Scholar

[3] Pathak P M, Mukherjee A, Dasgupta A, in: Impedance control of spacerobot, edtied by International Journal of Modelling and Simulation, Vol. 26(2006), p.316–322.

Google Scholar

[4] Koh, KC, Choi, HJ, and Kim, JS, in: Senosr2based navigation of airduct inspeetiomnobile robots, edtied by Porceeding of the SPIE, Vol. 4190(2001), p.202–211.

Google Scholar

[5] Jiang LP, Huang JQ, Zou Y, Xue L, Huang JF, and Huang, MS, in: Research on automatic tracking system of welding robot, edtied by Electric Welding Machine, Vol. 38(2009) , p.39–44.

Google Scholar

[6] Zuo SH, Liu XT, Lin SM, Lin MS, and Li XL in: Automatic Seam- tr acking Technology and the Fundamental Structure, edtied by Coal Mine Modernization, Vol. 3(2008), p.54–55.

Google Scholar

[7] Xu PQ, Tang XH, and Yao S, in: Application of circular laser vision sensor (CLVS) on welded seam tracking, edtied by Journal of Materials Processing Technology, Vol. 205(2006), p.404–410.

DOI: 10.1016/j.jmatprotec.2007.11.268

Google Scholar

[8] Cao LT, Tian JW, and Nie XY, in: Automatic Seam Tracking System of Welding Robot, edtied by Control System, Vol. 22(2006), p.77–79.

Google Scholar

[9] Zhang LX, Lu DM, Dong YH, and Shen, JH, in: Design and simulation for digital DC speed-regulating system, edtied by Applied Science and Technology, Vol. 32(2005), p.42–43, 47.

Google Scholar

[10] Zhang LX, Wang LJ, Wang KK, and Wang FL, in: Simulation study for gait training robot control system, edtied by Applied Science and Technology (2009), p.62–65.

Google Scholar