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Information Journal Paper

Title

Adaptive dynamic surface control of a exible-joint robot with parametric uncertainties

Pages

  2749-2759

Abstract

 A new kind of adaptive Dynamic surface control (DSC) method is proposed in this study to overcome parametric uncertainties of Flexible-Joint (FJ) robots. These uncertainties of FJ robots are transformed into linear expressions of Inertial parameters, which are estimated based on the DSC, and the high-order derivatives in DSC are solved by using a first-order filter. The adaptation laws of Inertial parameters are designed directly to improve the tracking performance according to the Lyapunov stability analysis. Simulation results of a two-link FJ robot show better Tracking accuracy against model parametric uncertainties. The used method does not need the aid of Neural Network (NN); it is simpler and calculates faster than the other adaptive methods.

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    APA: Copy

    Li, C.G., CUI, W., Yan, D.D., & WANG, Y.. (2019). Adaptive dynamic surface control of a exible-joint robot with parametric uncertainties. SCIENTIA IRANICA, 26(5 (Transactions B: Mechanical Engineering)), 2749-2759. SID. https://sid.ir/paper/290553/en

    Vancouver: Copy

    Li C.G., CUI W., Yan D.D., WANG Y.. Adaptive dynamic surface control of a exible-joint robot with parametric uncertainties. SCIENTIA IRANICA[Internet]. 2019;26(5 (Transactions B: Mechanical Engineering)):2749-2759. Available from: https://sid.ir/paper/290553/en

    IEEE: Copy

    C.G. Li, W. CUI, D.D. Yan, and Y. WANG, “Adaptive dynamic surface control of a exible-joint robot with parametric uncertainties,” SCIENTIA IRANICA, vol. 26, no. 5 (Transactions B: Mechanical Engineering), pp. 2749–2759, 2019, [Online]. Available: https://sid.ir/paper/290553/en

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