Study on the exponential path tracking control of robot manipulators via direct adaptive methods

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Abstract

Exponential path tracking control represents an important issue pertaining to the transient performance of robot control systems. In this paper, the so-called Exp-transformation is applied to obtain transformed robot dynamics models which are used to derive several adaptive control algorithms that achieve exponential path tracking. In contrast to the existing composite adaptive control method; where both the tracking error and the prediction error are used and persistent excitation (p.e.) is required, the proposed strategy requires only the tracking error. This makes the control structure simpler and easier to implement. The main contribution of this paper is the development of practical control strategies for which the p.e. requirement is completely removed (as opposed to relaxing it to semi-p.e. as was done in a recent work). The fundamental idea introduced for exponential stability analysis is conceptually simple and global results are obtained.

References (15)

  • B.D.O. Anderson et al.

    Exponential convergence of adaptive identification and control algorithms

    Automatica

    (1982)
  • M. Bodson et al.

    Adaptive Control: Stability, Convergence and Robustness

  • J.J. Craig et al.

    Adaptive control of mechanical manipulators

  • P. Hsu et al.

    Adaptive identification and control of manipulators without joint acceleration measurements

  • R. Kelly et al.

    Adaptive motion control design of robot manipulators: An input-output approach

  • I.D. Landau et al.

    Synthesis of adaptive controllers for robot manipulators using a passive-feedback systems approach

  • R.H. Middleton et al.

    Adaptive computed torque control of rigid link manipulators

There are more references available in the full text version of this article.

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