LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Global sliding mode with fractional operators and application to control robot manipulators

Photo by charlesdeluvio from unsplash

ABSTRACT In this paper, a novel fractional-order global sliding-mode control scheme is presented. It is first used to stabilise a coupled second-order nonlinear system, and then it is generalised to… Click to show full abstract

ABSTRACT In this paper, a novel fractional-order global sliding-mode control scheme is presented. It is first used to stabilise a coupled second-order nonlinear system, and then it is generalised to control a class of multi-input and multi-output nonlinear systems with the model uncertainties and external disturbances. The proposed sliding manifold, which will converge to the origin in finite time by utilising a classical quadratic Lyapunov function, ensures global stabilisation of the system and the reduction of the chattering phenomenon during the control processes. Based on input-to-state stability and Lyapunov's stability theorem, the closed-loop system can be globally uniformly asymptotically stabilised to the origin in the future time. Some results about the control and stabilisation of integer-order nonlinear systems, when the fractional-order sliding-mode controller is used, are illustrated in this paper. Finally, an application to two-degree of freedom polar robot manipulator is provided to show the validity and feasibility of the proposed method.

Keywords: sliding mode; order; control; robot; global sliding; mode fractional

Journal Title: International Journal of Control
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.