Study on RBF Network Adaptive Control for Robot Loading Based on Uncertainty Compensation

Hua Li; Da Xu; Meng Chun Zhong; Jian Zhang; Chun Lin Zhang

doi:10.4028/www.scientific.net/AMR.706-708.1042

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 706-708Study on RBF Network Adaptive Control for Robot...

Study on RBF Network Adaptive Control for Robot Loading Based on Uncertainty Compensation

Abstract:

In order to meet fast and accurate auto-loading, insure stable system, fast minish error, and minish interference signal influence, RBF network adaptive control based on uncertainty compensation is adopted in this thesis. By simulation, simulation results show that this control method can meet control requiements.

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Periodical:

Advanced Materials Research (Volumes 706-708)

Pages:

1042-1046

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.706-708.1042

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Online since:

June 2013

Authors:

Hua Li, Da Xu, Meng Chun Zhong, Jian Zhang, Chun Lin Zhang

Keywords:

Adaptive Control, RBF Network, Robot Loading, Simulation, Tracking

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References

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