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 language | English |
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DOIs | |
Publication status | Published - 21 Jun 2016 |
Event | MED 2016 - 24th Mediterranean Conference on Control and Automation - Duration: 21 Jun 2016 → … |
Conference
Conference | MED 2016 - 24th Mediterranean Conference on Control and Automation |
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Period | 21/06/16 → … |