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      Adaptive Fractional-Order Nonsingular Fast Terminal Sliding Mode Control for Manipulators

      1 , 2 , 1
      Complexity
      Hindawi Limited

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          Abstract

          When the manipulator system is subject to unknown disturbance, in order to improve the tracking accuracy of the manipulator, this paper designs a fractional-order nonsingular fast terminal sliding mode (FONFTSM) controller. The controller is divided into three parts. First of all, in order to improve the performance of the sliding stage, this paper designs a FONFTSM surface. By introducing a fractional-order operator, the convergence speed and accuracy of the system state are effectively improved. Secondly, in view of the problems of large chattering and slow convergence speed in the reaching stage, this paper designs a variable exponential power-reaching law (VEPRL), which has the ability to change the exponential coefficients according to the system state adaptively. At the same time, an adaptive law is designed to adjust the coefficients of the reaching law adaptively, which enhances the robustness of the control system. Finally, a disturbance observer is used to estimate the unknown external disturbance in real time so as to perform feedforward compensation for the control system, which effectively improves the accuracy of the manipulator control system. The stability of the manipulator control system is proved by the Lyapunov function. Simultaneously, the controller designed in this paper is compared with different controllers, which proves that the controller designed in this paper has strong robustness, high control accuracy, and fast convergence speed.

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          Most cited references41

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          Lyapunov functions for fractional order systems

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            Non-singular terminal sliding mode control of rigid manipulators

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              Control Algorithms of Magnetic Suspension Systems Based on the Improved Double Exponential Reaching Law of Sliding Mode Control

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                Author and article information

                Contributors
                Journal
                Complexity
                Complexity
                Hindawi Limited
                1099-0526
                1076-2787
                September 21 2021
                September 21 2021
                : 2021
                : 1-13
                Affiliations
                [1 ]School of Automation & Electrical Engineering of Lanzhou Jiaotong University, Lanzhou 730070, China
                [2 ]Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, Lanzhou 730070, China
                Article
                10.1155/2021/7924953
                528f1134-e145-4e52-b4b6-ab923b1013bf
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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