Volume 12 Number 5
October 2015
Article Contents
Zhen-Guo Liu and Jin-Ming Huang. A New Adaptive Tracking Control Approach for Uncertain Flexible Joint Robot System. International Journal of Automation and Computing, vol. 12, no. 5, pp. 559-566, 2015. doi: 10.1007/s11633-015-0898-6
Cite as: Zhen-Guo Liu and Jin-Ming Huang. A New Adaptive Tracking Control Approach for Uncertain Flexible Joint Robot System. International Journal of Automation and Computing, vol. 12, no. 5, pp. 559-566, 2015. doi: 10.1007/s11633-015-0898-6

A New Adaptive Tracking Control Approach for Uncertain Flexible Joint Robot System

  • Received: 2013-11-14
Fund Project:

This work was supported by National Natural Science Foundation of China (No. 61273091), the Project of Taishan Scholar of Shandong Province, and the Ph.D. Programs Foundation of Ministry of Education of China.

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A New Adaptive Tracking Control Approach for Uncertain Flexible Joint Robot System

Fund Project:

This work was supported by National Natural Science Foundation of China (No. 61273091), the Project of Taishan Scholar of Shandong Province, and the Ph.D. Programs Foundation of Ministry of Education of China.

Abstract: The adaptive tracking problem for uncertain flexible joint robot system is studied in this paper. By utilizing the adaptive backstepping method, an adaptive controller is constructed at the beginning. By utilizing the modified adaptive dynamic surface control technique, a new adaptive controller is presented afterwards to avoid the overparametrization problem and the explosion of complexity problem existing in the adaptive backstepping method. All the signals of the closed-loop system are rendered globally/semi-globally uniformly ultimately bounded, and the tracking error can be made arbitrarily small by tuning the designed parameters. A simulation example is given to show the validity of the control algorithm.

Zhen-Guo Liu and Jin-Ming Huang. A New Adaptive Tracking Control Approach for Uncertain Flexible Joint Robot System. International Journal of Automation and Computing, vol. 12, no. 5, pp. 559-566, 2015. doi: 10.1007/s11633-015-0898-6
Citation: Zhen-Guo Liu and Jin-Ming Huang. A New Adaptive Tracking Control Approach for Uncertain Flexible Joint Robot System. International Journal of Automation and Computing, vol. 12, no. 5, pp. 559-566, 2015. doi: 10.1007/s11633-015-0898-6
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