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Sliding mode Control with fuzzy tuning

Version 2 2024-09-17, 02:02
Version 1 2023-05-23, 02:24
conference contribution
posted on 2024-09-17, 02:02 authored by QP Ha, Michael NegnevitskyMichael Negnevitsky, Z Man
This paper presents a new technique for linearized systems with uncertainties using sliding mode control with fuzzy tuning. The control signal consists of three components: the equivalent control for assigning the sliding eigenvalues of the nominal closed-loop system, the robust control for driving the representative point to the sliding hyperplane in the reaching phase, and the fuzzy tuned control for accelerating the reaching time and reducing the influence of unstructured uncertainty. Chattering is also taken into account. The validity of the proposed approach is verified by the control of a two-mass servo system. Simulation results show that the controlled system is highly robust against parameter and load variations, and backlash nonlinearity.

History

Volume

1

Editors

V.L. Narasimhan & L.C. Jain

Pagination

216-219

Department/School

Engineering

Publisher

IEEE

Publication status

  • Published

Event title

IEEE 4th Australian and New Zealand Conference on Intelligent Information Systems

Event Venue

Adelaide, Australia

Date of Event (Start Date)

1996-01-01

Date of Event (End Date)

1996-01-01

Socio-economic Objectives

241299 Machinery and equipment not elsewhere classified

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