Modified Grey-Wolf Algorithm Optimized Fractional-Order Sliding Mode Control for Unknown Manipulators With a Fractional-Order Disturbance Observer

Modified Grey-Wolf Algorithm Optimized Fractional-Order Sliding Mode Control for Unknown Manipulators With a Fractional-Order Disturbance Observer

This paper studies a new fractional-order nonsingular terminal sliding mode control (FTSMC), in which all parameters of controller and observer are optimized by a modified grey wolf optimization (MGWO) technique for robotic manipulator systems. Based on an improved fractional-order terminal sliding...

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Bibliographic Details
Main Author: Seongik Han
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fractional-order terminal sliding mode control
fractional-order finite-time disturbance observer
modified grey wolf optimization
off and on-line parameter optimization
robotic manipulator
Online Access:https://ieeexplore.ieee.org/document/8957429/

Internet

https://ieeexplore.ieee.org/document/8957429/

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