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IJMERR 2022 Vol.11(12): 948-953
DOI: 10.18178/ijmerr.11.12.948-953

A Modified Adaptive Prescribed Performance Control Method for Motion Control Problems of Robotic Manipulators

Anh Tuan Vo, Thanh Nguyen Truong, and Hee-Jun Kang
Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea

Abstract—This paper proposes a modified adaptive prescribed performance control method to solve motion control problems of robotic manipulators such as tracking accuracy, transient performance guarantee, convergence rate, and chattering phenomenon. A modified integral terminal sliding mode (ITSM) surface based on the error transformation and prescribed performance function (PPF) is generated to avoid singularity problems and to manage the convergence rate and steady-state of tracking errors within a predefined boundary of the control performance. Furthermore, an adaptive super-twisting reaching control (ASTwRC) law is applied to strengthen the robust performance and to deal with system uncertainties and harmful chattering. The stability of the developed controller is guaranteed using the Lyapunov theory. Several simulations on a 3-DOF robotic manipulator are implemented to investigate the effectiveness of the control solution proposal.

Index Terms—prescribed performance control, robotic manipulators, super-twisting technique

Cite: Anh Tuan Vo, Thanh Nguyen Truong, and Hee-Jun Kang, "A Modified Adaptive Prescribed Performance Control Method for Motion Control Problems of Robotic Manipulators," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 12, pp. 948-953, December 2022. DOI: 10.18178/ijmerr.11.12.948-953

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.