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Sliding mode control of electromagnetic system based on fuzzy clustering estimation (an experimental study)

Alasti, A ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1115/ESDA2004-58442
  3. Abstract:
  4. Using the combination of fuzzy clustering estimation and sliding mode control, a technique for controlling the magnetic levitation (ML) systems is introduced. This technique is applied to an experimental setup of an ML system for investigating the method derived. The system considered, is a symmetric rotor supported by a cantilever load cell beam and excited by only one electromagnet of a 4-pole magnetic bearing setup. After demonstrating the experimental setup instruction and the specifications of its parts, the clustering, and the sliding mode control methods are explained briefly, then the quality of implementing the techniques to the setup is described step by step. Finally, the results of exercising this method to the setup are illustrated, and they show the good performance of this approach for tracking the desired paths
  5. Keywords:
  6. Actuators ; Variable structure control ; Fuzzy control ; Magnetic bearings ; Nonlinear control systems ; Parameter estimation ; Stiffness ; Fuzzy systems ; Physical systems ; Magnetic levitation ; Electromagnetism ; PID controllers ; Cooling
  7. Source: Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis ; Volume 1 , 2004 , Pages 843-850 ; ISBN: 0791841731 ; ISBN: 9780791841730
  8. URL: http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1644071