Fuzzy sliding control with non-linear observer for magnetic levitation systems

Mohammad osman Tokhi, Mohammad Osman

Research output: Contribution to conferencePaperpeer-review

11 Citations (Scopus)

Abstract

© 2016 IEEE. Magnetic levitation (Maglev) systems make significant contribution to industrial applications due their reduced power consumption, increased power efficiency and reduced cost of maintenance. Common applications include Maglev power generation (e.g. wind turbine), Maglev trains and medical devices (e.g. magnetically suspended artificial heart pump). This paper proposes fuzzy sliding-mode controller 'FSMC' with a nonlinear observer been used to estimate the unmeasured states. Simulations are performed with nonlinear mathematical model of the Maglev system, and the results show that the proposed observer and control strategy perform well.
Original languageEnglish
DOIs
Publication statusPublished - 21 Jun 2016
EventMED 2016 - 24th Mediterranean Conference on Control and Automation -
Duration: 21 Jun 2016 → …

Conference

ConferenceMED 2016 - 24th Mediterranean Conference on Control and Automation
Period21/06/16 → …

Fingerprint

Dive into the research topics of 'Fuzzy sliding control with non-linear observer for magnetic levitation systems'. Together they form a unique fingerprint.

Cite this