Fuzzy Logic Controller and LQR for Magnetic Levitation Syste
Arjun C. Unni1, A. Junghare2
1Arjun C Unni, Department of Electrical, National Institute of Technology, Nagpur (Maharashtra), India.
2Dr. A.S. Junghare, Department of Electrical, Visvesvaraya National Institute of Technology, Nagpur (Maharashtra), India.
Manuscript received on 20 March 2014 | Revised Manuscript received on 25 March 2014 | Manuscript published on 30 March 2014 | PP: 61-64 | Volume-3 Issue-1, March 2014 | Retrieval Number: A0991033114/2014©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Magnetic suspension systems have been successfully implemented for many applications such as frictionless bearings, high-speed maglev passenger trains, and fast-tool servo systems. Due to the features of the instability and nonlinearities of the magnetic suspension system, the design of a high-performance controller for the position control of the levitated object is very import. This paper presents the modelling of the system and control of the same.
Keywords: Magnetic levitation system, Fuzzy, LQR
Scope of the Article: Fuzzy Logic