Fuzzy sliding control with non-linear observer for magnetic levitation systems
Conference paper
Benomair, AM, Firdaus, AR and Tokhi, MO (2016). Fuzzy sliding control with non-linear observer for magnetic levitation systems. MED 2016 - 24th Mediterranean Conference on Control and Automation. Athens, Greece 21 - 24 Jun 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 256-261 https://doi.org/10.1109/MED.2016.7536025
Authors | Benomair, AM, Firdaus, AR and Tokhi, MO |
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Type | Conference paper |
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. |
Year | 2016 |
Journal | 24th Mediterranean Conference on Control and Automation, MED 2016 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Digital Object Identifier (DOI) | https://doi.org/10.1109/MED.2016.7536025 |
Accepted author manuscript | License File Access Level Open |
Publication dates | |
21 Jun 2016 | |
Publication process dates | |
Deposited | 15 Dec 2017 |
Accepted | 21 Jun 2016 |
ISBN | 9781467383455 |
Page range | 256-261 |
Permalink -
https://openresearch.lsbu.ac.uk/item/873q2
Download files
Accepted author manuscript
Benomair et al_MED 2016_Greece.pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
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