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Modeling and Control of Magnetically-Levitated Iron-Less Planar Actuators

Haddadi, Aboutaleb | 2009

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 39575 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ranjbar, Ali Mohammad
  7. Abstract:
  8. Flying has fascinated mankind for ages. Nowadays, planar actuators are performing the same task as that, once a dream, of a flying magic carpet found in Persian mythology. Magnetically levitated planar actuators (MLPAs) consist of two parts; a moving part, and a stationary part. In most applications the moving part which is an array of permanent magnets (PMs) produces a magnetic flux density in the air-gap, and the stationary part, an array of current carrying coils, produces force and torque when it is exposed to the magnetic flux of the PM array. These actuators have been utilized in industry in applications where precise positioning is important. In recent years however, they have found application in superconductivity industry where smaller sizes are desirable for achieving higher performances with lower prices. In this thesis, former proposed models for an MLPA and their advantages and disadvantages are reviewed. It is shown that the application of former models in the controller of an MLPA has some drawbacks; an actuator based on these models can not efficiently make use of the PMs in the PM array, furthermore it is not possible to control multiple moving parts above a single stator by a controller based on these models. To have an efficient structure and to be able to control multiple-translator actuators, a new model is introduced. The performance of the new model in confronting above mentioned problems is examined. Then, based on the developed model a framework for modeling and control of multiple-translator actuator is developed. Finally, the idea of using a fuzzy self-organizing controller in control of an MLPA is investigated
  9. Keywords:
  10. Permanent Magnet ; Magnetically Levitated Actuators ; Ironless Motor ; Electromechanical Modeling ; Fuzzy Self-Organizing Controller ; Magnetic Flux Density

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